Overview

Dataset statistics

Number of variables77
Number of observations3096
Missing cells38863
Missing cells (%)16.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 MiB
Average record size in memory616.0 B

Variable types

NUM63
CAT14

Warnings

Facility Name has a high cardinality: 3004 distinct values High cardinality
Address has a high cardinality: 3085 distinct values High cardinality
City has a high cardinality: 1941 distinct values High cardinality
State has a high cardinality: 54 distinct values High cardinality
County Name has a high cardinality: 1042 distinct values High cardinality
Phone Number has a high cardinality: 3086 distinct values High cardinality
Location has a high cardinality: 2918 distinct values High cardinality
HAI_1_CILOWER has 1448 (46.8%) missing values Missing
HAI_1_CIUPPER has 1125 (36.3%) missing values Missing
HAI_1_DOPC has 76 (2.5%) missing values Missing
HAI_1_ELIGCASES has 76 (2.5%) missing values Missing
HAI_1_NUMERATOR has 76 (2.5%) missing values Missing
HAI_1_SIR_Score has 1125 (36.3%) missing values Missing
HAI_2_CILOWER has 1213 (39.2%) missing values Missing
HAI_2_CIUPPER has 877 (28.3%) missing values Missing
HAI_2_DOPC has 65 (2.1%) missing values Missing
HAI_2_ELIGCASES has 65 (2.1%) missing values Missing
HAI_2_NUMERATOR has 65 (2.1%) missing values Missing
HAI_2_SIR_Score has 877 (28.3%) missing values Missing
HAI_3_CILOWER has 1618 (52.3%) missing values Missing
HAI_3_CIUPPER has 1265 (40.9%) missing values Missing
HAI_3_DOPC has 255 (8.2%) missing values Missing
HAI_3_ELIGCASES has 255 (8.2%) missing values Missing
HAI_3_NUMERATOR has 255 (8.2%) missing values Missing
HAI_3_SIR_Score has 1265 (40.9%) missing values Missing
HAI_4_CILOWER has 2467 (79.7%) missing values Missing
HAI_4_CIUPPER has 2274 (73.4%) missing values Missing
HAI_4_DOPC has 413 (13.3%) missing values Missing
HAI_4_ELIGCASES has 413 (13.3%) missing values Missing
HAI_4_NUMERATOR has 413 (13.3%) missing values Missing
HAI_4_SIR_Score has 2274 (73.4%) missing values Missing
HAI_5_CILOWER has 1642 (53.0%) missing values Missing
HAI_5_CIUPPER has 1381 (44.6%) missing values Missing
HAI_5_DOPC has 38 (1.2%) missing values Missing
HAI_5_ELIGCASES has 38 (1.2%) missing values Missing
HAI_5_NUMERATOR has 38 (1.2%) missing values Missing
HAI_5_SIR_Score has 1381 (44.6%) missing values Missing
HAI_6_CILOWER has 369 (11.9%) missing values Missing
HAI_6_CIUPPER has 42 (1.4%) missing values Missing
HAI_6_SIR_Score has 42 (1.4%) missing values Missing
HAI_1_SIR_ComparedToNational has 1125 (36.3%) missing values Missing
HAI_2_SIR_ComparedToNational has 877 (28.3%) missing values Missing
HAI_3_SIR_ComparedToNational has 1265 (40.9%) missing values Missing
HAI_4_SIR_ComparedToNational has 2274 (73.4%) missing values Missing
HAI_5_SIR_ComparedToNational has 1381 (44.6%) missing values Missing
HAI_6_SIR_ComparedToNational has 42 (1.4%) missing values Missing
Location has 176 (5.7%) missing values Missing
H_CLEAN_STAR_RATING has 163 (5.3%) missing values Missing
H_COMP_1_STAR_RATING has 163 (5.3%) missing values Missing
H_COMP_2_STAR_RATING has 163 (5.3%) missing values Missing
H_COMP_3_STAR_RATING has 163 (5.3%) missing values Missing
H_COMP_5_STAR_RATING has 163 (5.3%) missing values Missing
H_COMP_6_STAR_RATING has 163 (5.3%) missing values Missing
H_COMP_7_STAR_RATING has 163 (5.3%) missing values Missing
H_HSP_RATING_STAR_RATING has 163 (5.3%) missing values Missing
H_QUIET_STAR_RATING has 163 (5.3%) missing values Missing
H_RECMND_STAR_RATING has 163 (5.3%) missing values Missing
H_STAR_RATING has 163 (5.3%) missing values Missing
H_CLEAN_LINEAR_SCORE has 163 (5.3%) missing values Missing
H_COMP_1_LINEAR_SCORE has 163 (5.3%) missing values Missing
H_COMP_2_LINEAR_SCORE has 163 (5.3%) missing values Missing
H_COMP_3_LINEAR_SCORE has 163 (5.3%) missing values Missing
H_COMP_5_LINEAR_SCORE has 163 (5.3%) missing values Missing
H_COMP_6_LINEAR_SCORE has 163 (5.3%) missing values Missing
H_COMP_7_LINEAR_SCORE has 163 (5.3%) missing values Missing
H_HSP_RATING_LINEAR_SCORE has 163 (5.3%) missing values Missing
H_QUIET_LINEAR_SCORE has 163 (5.3%) missing values Missing
H_RECMND_LINEAR_SCORE has 163 (5.3%) missing values Missing
SEP_1 has 419 (13.5%) missing values Missing
SEP_SH_3HR has 448 (14.5%) missing values Missing
SEP_SH_6HR has 1288 (41.6%) missing values Missing
SEV_SEP_3HR has 419 (13.5%) missing values Missing
SEV_SEP_6HR has 452 (14.6%) missing values Missing
Facility Name is uniformly distributed Uniform
Address is uniformly distributed Uniform
Phone Number is uniformly distributed Uniform
Location is uniformly distributed Uniform
Facility ID has unique values Unique
HAI_1_NUMERATOR has 1206 (39.0%) zeros Zeros
HAI_1_SIR_Score has 323 (10.4%) zeros Zeros
HAI_2_NUMERATOR has 926 (29.9%) zeros Zeros
HAI_2_SIR_Score has 336 (10.9%) zeros Zeros
HAI_3_NUMERATOR has 1088 (35.1%) zeros Zeros
HAI_3_SIR_Score has 353 (11.4%) zeros Zeros
HAI_4_NUMERATOR has 1641 (53.0%) zeros Zeros
HAI_4_SIR_Score has 193 (6.2%) zeros Zeros
HAI_5_NUMERATOR has 1323 (42.7%) zeros Zeros
HAI_5_SIR_Score has 261 (8.4%) zeros Zeros
HAI_6_NUMERATOR has 345 (11.1%) zeros Zeros
HAI_6_SIR_Score has 327 (10.6%) zeros Zeros

Reproduction

Analysis started2021-03-15 15:13:53.406169
Analysis finished2021-03-15 15:14:02.265202
Duration8.86 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

Facility ID
Categorical

UNIQUE

Distinct3096
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
510058
 
1
151313
 
1
180104
 
1
380007
 
1
051304
 
1
Other values (3091)
3091 
ValueCountFrequency (%) 
5100581< 0.1%
 
1513131< 0.1%
 
1801041< 0.1%
 
3800071< 0.1%
 
0513041< 0.1%
 
2600771< 0.1%
 
0700101< 0.1%
 
1101351< 0.1%
 
0504171< 0.1%
 
1100101< 0.1%
 
Other values (3086)308699.7%
 
2021-03-15T10:14:02.454306image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3096 ?
Unique (%)100.0%
2021-03-15T10:14:02.590225image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length6
Median length6
Mean length6
Min length6

HAI_1_CILOWER
Real number (ℝ≥0)

MISSING

Distinct671
Distinct (%)40.7%
Missing1448
Missing (%)46.8%
Infinite0
Infinite (%)0.0%
Mean0.2976407767
Minimum0.003
Maximum4.054
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:02.713155image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.003
5-th percentile0.012
Q10.07
median0.22
Q30.42
95-th percentile0.83455
Maximum4.054
Range4.051
Interquartile range (IQR)0.35

Descriptive statistics

Standard deviation0.3132752972
Coefficient of variation (CV)1.052528154
Kurtosis18.81156226
Mean0.2976407767
Median Absolute Deviation (MAD)0.17
Skewness2.943476995
Sum490.512
Variance0.09814141186
MonotocityNot monotonic
2021-03-15T10:14:02.864804image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.012200.6%
 
0.013170.5%
 
0.014160.5%
 
0.02140.5%
 
0.009130.4%
 
0.022120.4%
 
0.01110.4%
 
0.007110.4%
 
0.016100.3%
 
0.011100.3%
 
Other values (661)151448.9%
 
(Missing)144846.8%
 
ValueCountFrequency (%) 
0.00320.1%
 
0.00420.1%
 
0.00580.3%
 
0.00640.1%
 
0.007110.4%
 
ValueCountFrequency (%) 
4.0541< 0.1%
 
2.4261< 0.1%
 
2.3681< 0.1%
 
2.2621< 0.1%
 
2.1041< 0.1%
 

HAI_1_CIUPPER
Real number (ℝ≥0)

MISSING

Distinct1464
Distinct (%)74.3%
Missing1125
Missing (%)36.3%
Infinite0
Infinite (%)0.0%
Mean2.030349061
Minimum0.274
Maximum11.609
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:03.013607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.274
5-th percentile0.647
Q11.1215
median1.647
Q32.5815
95-th percentile4.679
Maximum11.609
Range11.335
Interquartile range (IQR)1.46

Descriptive statistics

Standard deviation1.331643402
Coefficient of variation (CV)0.655869194
Kurtosis5.69356576
Mean2.030349061
Median Absolute Deviation (MAD)0.633
Skewness1.908174001
Sum4001.818
Variance1.773274151
MonotocityNot monotonic
2021-03-15T10:14:03.144878image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1.11850.2%
 
0.85150.2%
 
1.70440.1%
 
1.5440.1%
 
1.56840.1%
 
1.22340.1%
 
2.36140.1%
 
2.1840.1%
 
1.36640.1%
 
1.09240.1%
 
Other values (1454)192962.3%
 
(Missing)112536.3%
 
ValueCountFrequency (%) 
0.2741< 0.1%
 
0.2781< 0.1%
 
0.2811< 0.1%
 
0.3091< 0.1%
 
0.311< 0.1%
 
ValueCountFrequency (%) 
11.6091< 0.1%
 
10.7951< 0.1%
 
10.1711< 0.1%
 
9.4221< 0.1%
 
9.0941< 0.1%
 

HAI_1_DOPC
Real number (ℝ≥0)

MISSING

Distinct2554
Distinct (%)84.6%
Missing76
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean5933.669536
Minimum2
Maximum127099
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:03.337437image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile161.85
Q1778
median2788
Q37101.25
95-th percentile23242.05
Maximum127099
Range127097
Interquartile range (IQR)6323.25

Descriptive statistics

Standard deviation9249.692924
Coefficient of variation (CV)1.55884868
Kurtosis24.97649848
Mean5933.669536
Median Absolute Deviation (MAD)2327
Skewness3.953166628
Sum17919682
Variance85556819.18
MonotocityNot monotonic
2021-03-15T10:14:03.501063image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
24870.2%
 
46460.2%
 
23750.2%
 
12150.2%
 
55150.2%
 
95540.1%
 
77840.1%
 
76040.1%
 
8040.1%
 
39940.1%
 
Other values (2544)297296.0%
 
(Missing)762.5%
 
ValueCountFrequency (%) 
220.1%
 
41< 0.1%
 
520.1%
 
620.1%
 
101< 0.1%
 
ValueCountFrequency (%) 
1270991< 0.1%
 
1062151< 0.1%
 
753221< 0.1%
 
722221< 0.1%
 
711861< 0.1%
 

HAI_1_ELIGCASES
Real number (ℝ≥0)

MISSING

Distinct2371
Distinct (%)78.5%
Missing76
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean5.895842053
Minimum0.001
Maximum143.258
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:03.672609image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.001
5-th percentile0.064
Q10.5085
median2.1725
Q36.4985
95-th percentile25.2712
Maximum143.258
Range143.257
Interquartile range (IQR)5.99

Descriptive statistics

Standard deviation10.3661451
Coefficient of variation (CV)1.758212823
Kurtosis25.46489317
Mean5.895842053
Median Absolute Deviation (MAD)1.9685
Skewness4.073159227
Sum17805.443
Variance107.4569643
MonotocityNot monotonic
2021-03-15T10:14:03.808206image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.04790.3%
 
0.03380.3%
 
0.07970.2%
 
0.08470.2%
 
0.10860.2%
 
0.06460.2%
 
0.08760.2%
 
0.57360.2%
 
0.01360.2%
 
0.21250.2%
 
Other values (2361)295495.4%
 
(Missing)762.5%
 
ValueCountFrequency (%) 
0.00120.1%
 
0.00230.1%
 
0.00320.1%
 
0.0041< 0.1%
 
0.0051< 0.1%
 
ValueCountFrequency (%) 
143.2581< 0.1%
 
112.9171< 0.1%
 
83.4771< 0.1%
 
81.4021< 0.1%
 
79.8551< 0.1%
 

HAI_1_NUMERATOR
Real number (ℝ≥0)

MISSING
ZEROS

Distinct58
Distinct (%)1.9%
Missing76
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean4.039735099
Minimum0
Maximum137
Zeros1206
Zeros (%)39.0%
Memory size24.2 KiB
2021-03-15T10:14:03.951824image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile18
Maximum137
Range137
Interquartile range (IQR)4

Descriptive statistics

Standard deviation8.476478606
Coefficient of variation (CV)2.098275852
Kurtosis52.98280646
Mean4.039735099
Median Absolute Deviation (MAD)1
Skewness5.616627797
Sum12200
Variance71.85068956
MonotocityNot monotonic
2021-03-15T10:14:04.094443image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0120639.0%
 
145014.5%
 
22899.3%
 
32006.5%
 
41534.9%
 
51213.9%
 
6732.4%
 
7712.3%
 
8672.2%
 
9461.5%
 
Other values (48)34411.1%
 
(Missing)762.5%
 
ValueCountFrequency (%) 
0120639.0%
 
145014.5%
 
22899.3%
 
32006.5%
 
41534.9%
 
ValueCountFrequency (%) 
1371< 0.1%
 
1311< 0.1%
 
821< 0.1%
 
801< 0.1%
 
761< 0.1%
 

HAI_1_SIR_Score
Real number (ℝ≥0)

MISSING
ZEROS

Distinct1009
Distinct (%)51.2%
Missing1125
Missing (%)36.3%
Infinite0
Infinite (%)0.0%
Mean0.6917645865
Minimum0
Maximum5.94
Zeros323
Zeros (%)10.4%
Memory size24.2 KiB
2021-03-15T10:14:04.284640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.282
median0.591
Q30.934
95-th percentile1.834
Maximum5.94
Range5.94
Interquartile range (IQR)0.652

Descriptive statistics

Standard deviation0.6250201616
Coefficient of variation (CV)0.9035156957
Kurtosis9.111533891
Mean0.6917645865
Median Absolute Deviation (MAD)0.322
Skewness2.109615366
Sum1363.468
Variance0.3906502024
MonotocityNot monotonic
2021-03-15T10:14:04.485413image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
032310.4%
 
0.57170.2%
 
0.4360.2%
 
0.49150.2%
 
0.69350.2%
 
0.23750.2%
 
0.50150.2%
 
0.38150.2%
 
0.97250.2%
 
0.68250.2%
 
Other values (999)160051.7%
 
(Missing)112536.3%
 
ValueCountFrequency (%) 
032310.4%
 
0.06320.1%
 
0.0751< 0.1%
 
0.0881< 0.1%
 
0.0921< 0.1%
 
ValueCountFrequency (%) 
5.941< 0.1%
 
5.5811< 0.1%
 
5.191< 0.1%
 
4.891< 0.1%
 
4.0981< 0.1%
 

HAI_2_CILOWER
Real number (ℝ≥0)

MISSING

Distinct738
Distinct (%)39.2%
Missing1213
Missing (%)39.2%
Infinite0
Infinite (%)0.0%
Mean0.3120435475
Minimum0.003
Maximum3.114
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:04.663528image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.003
5-th percentile0.015
Q10.085
median0.239
Q30.46
95-th percentile0.88
Maximum3.114
Range3.111
Interquartile range (IQR)0.375

Descriptive statistics

Standard deviation0.2901755199
Coefficient of variation (CV)0.9299199492
Kurtosis6.42337832
Mean0.3120435475
Median Absolute Deviation (MAD)0.177
Skewness1.730130284
Sum587.578
Variance0.08420183232
MonotocityNot monotonic
2021-03-15T10:14:04.881917image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.014160.5%
 
0.015160.5%
 
0.021150.5%
 
0.016140.5%
 
0.018130.4%
 
0.026120.4%
 
0.012120.4%
 
0.024110.4%
 
0.019110.4%
 
0.025110.4%
 
Other values (728)175256.6%
 
(Missing)121339.2%
 
ValueCountFrequency (%) 
0.0031< 0.1%
 
0.0041< 0.1%
 
0.00560.2%
 
0.00650.2%
 
0.00740.1%
 
ValueCountFrequency (%) 
3.1141< 0.1%
 
1.8751< 0.1%
 
1.8031< 0.1%
 
1.7741< 0.1%
 
1.7261< 0.1%
 

HAI_2_CIUPPER
Real number (ℝ≥0)

MISSING

Distinct1635
Distinct (%)73.7%
Missing877
Missing (%)28.3%
Infinite0
Infinite (%)0.0%
Mean2.057804416
Minimum0.16
Maximum8.962
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:05.473364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.16
5-th percentile0.6799
Q11.198
median1.755
Q32.5735
95-th percentile4.5026
Maximum8.962
Range8.802
Interquartile range (IQR)1.3755

Descriptive statistics

Standard deviation1.227329712
Coefficient of variation (CV)0.5964268042
Kurtosis3.443224548
Mean2.057804416
Median Absolute Deviation (MAD)0.652
Skewness1.580131633
Sum4566.268
Variance1.506338221
MonotocityNot monotonic
2021-03-15T10:14:05.619012image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1.62350.2%
 
1.63350.2%
 
1.74850.2%
 
1.45140.1%
 
1.35440.1%
 
1.0140.1%
 
1.77240.1%
 
1.84940.1%
 
1.68340.1%
 
1.04340.1%
 
Other values (1625)217670.3%
 
(Missing)87728.3%
 
ValueCountFrequency (%) 
0.161< 0.1%
 
0.1751< 0.1%
 
0.2421< 0.1%
 
0.2661< 0.1%
 
0.2821< 0.1%
 
ValueCountFrequency (%) 
8.9621< 0.1%
 
8.3831< 0.1%
 
8.2611< 0.1%
 
8.2541< 0.1%
 
8.1571< 0.1%
 

HAI_2_DOPC
Real number (ℝ≥0)

MISSING

Distinct2633
Distinct (%)86.9%
Missing65
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean5638.101617
Minimum1
Maximum93988
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:05.768612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile355.5
Q11308.5
median3420
Q37333.5
95-th percentile19123.5
Maximum93988
Range93987
Interquartile range (IQR)6025

Descriptive statistics

Standard deviation6789.416294
Coefficient of variation (CV)1.204202541
Kurtosis19.87229074
Mean5638.101617
Median Absolute Deviation (MAD)2508
Skewness3.276800035
Sum17089086
Variance46096173.61
MonotocityNot monotonic
2021-03-15T10:14:05.981153image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
70250.2%
 
63750.2%
 
91840.1%
 
353840.1%
 
45240.1%
 
24140.1%
 
91640.1%
 
30940.1%
 
373030.1%
 
337030.1%
 
Other values (2623)299196.6%
 
(Missing)652.1%
 
ValueCountFrequency (%) 
11< 0.1%
 
71< 0.1%
 
171< 0.1%
 
251< 0.1%
 
271< 0.1%
 
ValueCountFrequency (%) 
939881< 0.1%
 
745051< 0.1%
 
524121< 0.1%
 
520671< 0.1%
 
493491< 0.1%
 

HAI_2_ELIGCASES
Real number (ℝ≥0)

MISSING

Distinct2567
Distinct (%)84.7%
Missing65
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean6.591765754
Minimum0.001
Maximum133.181
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:06.115756image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.001
5-th percentile0.224
Q10.9135
median2.78
Q37.5475
95-th percentile27.3195
Maximum133.181
Range133.18
Interquartile range (IQR)6.634

Descriptive statistics

Standard deviation10.4422251
Coefficient of variation (CV)1.584131701
Kurtosis21.48304783
Mean6.591765754
Median Absolute Deviation (MAD)2.238
Skewness3.722694054
Sum19979.642
Variance109.0400649
MonotocityNot monotonic
2021-03-15T10:14:06.268348image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.58970.2%
 
1.71450.2%
 
0.54940.1%
 
0.95140.1%
 
0.21540.1%
 
0.34340.1%
 
0.59440.1%
 
0.63440.1%
 
0.42540.1%
 
1.48140.1%
 
Other values (2557)298796.5%
 
(Missing)652.1%
 
ValueCountFrequency (%) 
0.0011< 0.1%
 
0.0031< 0.1%
 
0.0131< 0.1%
 
0.01520.1%
 
0.0161< 0.1%
 
ValueCountFrequency (%) 
133.1811< 0.1%
 
119.5641< 0.1%
 
86.9631< 0.1%
 
83.1761< 0.1%
 
78.371< 0.1%
 

HAI_2_NUMERATOR
Real number (ℝ≥0)

MISSING
ZEROS

Distinct58
Distinct (%)1.9%
Missing65
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean4.724183438
Minimum0
Maximum109
Zeros926
Zeros (%)29.9%
Memory size24.2 KiB
2021-03-15T10:14:06.420075image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile21
Maximum109
Range109
Interquartile range (IQR)5

Descriptive statistics

Standard deviation8.186671478
Coefficient of variation (CV)1.732928364
Kurtosis24.39046674
Mean4.724183438
Median Absolute Deviation (MAD)2
Skewness3.912197361
Sum14319
Variance67.02158989
MonotocityNot monotonic
2021-03-15T10:14:06.561797image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
092629.9%
 
149015.8%
 
235411.4%
 
32207.1%
 
41565.0%
 
51424.6%
 
61033.3%
 
8742.4%
 
7732.4%
 
9581.9%
 
Other values (48)43514.1%
 
(Missing)652.1%
 
ValueCountFrequency (%) 
092629.9%
 
149015.8%
 
235411.4%
 
32207.1%
 
41565.0%
 
ValueCountFrequency (%) 
1091< 0.1%
 
881< 0.1%
 
801< 0.1%
 
751< 0.1%
 
641< 0.1%
 

HAI_2_SIR_Score
Real number (ℝ≥0)

MISSING
ZEROS

Distinct1090
Distinct (%)49.1%
Missing877
Missing (%)28.3%
Infinite0
Infinite (%)0.0%
Mean0.7194118973
Minimum0
Maximum5.471
Zeros336
Zeros (%)10.9%
Memory size24.2 KiB
2021-03-15T10:14:06.701457image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.331
median0.641
Q30.9935
95-th percentile1.7955
Maximum5.471
Range5.471
Interquartile range (IQR)0.6625

Descriptive statistics

Standard deviation0.5798969684
Coefficient of variation (CV)0.8060708623
Kurtosis4.193363922
Mean0.7194118973
Median Absolute Deviation (MAD)0.325
Skewness1.414372609
Sum1596.375
Variance0.3362804939
MonotocityNot monotonic
2021-03-15T10:14:06.843045image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
033610.9%
 
0.68770.2%
 
0.44770.2%
 
0.4370.2%
 
0.73670.2%
 
0.31370.2%
 
0.66660.2%
 
0.4660.2%
 
0.81860.2%
 
0.54460.2%
 
Other values (1080)182458.9%
 
(Missing)87728.3%
 
ValueCountFrequency (%) 
033610.9%
 
0.0651< 0.1%
 
0.0851< 0.1%
 
0.0881< 0.1%
 
0.0951< 0.1%
 
ValueCountFrequency (%) 
5.4711< 0.1%
 
3.8451< 0.1%
 
3.4751< 0.1%
 
3.4251< 0.1%
 
3.4221< 0.1%
 

HAI_3_CILOWER
Real number (ℝ≥0)

MISSING

Distinct697
Distinct (%)47.2%
Missing1618
Missing (%)52.3%
Infinite0
Infinite (%)0.0%
Mean0.3335635995
Minimum0.006
Maximum1.834
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:06.988655image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.006
5-th percentile0.016
Q10.068
median0.2495
Q30.48875
95-th percentile0.9913
Maximum1.834
Range1.828
Interquartile range (IQR)0.42075

Descriptive statistics

Standard deviation0.3233365256
Coefficient of variation (CV)0.9693399585
Kurtosis2.307034986
Mean0.3335635995
Median Absolute Deviation (MAD)0.202
Skewness1.444629889
Sum493.007
Variance0.1045465088
MonotocityNot monotonic
2021-03-15T10:14:07.131272image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.017160.5%
 
0.022130.4%
 
0.021130.4%
 
0.026120.4%
 
0.025120.4%
 
0.013110.4%
 
0.016110.4%
 
0.031110.4%
 
0.02110.4%
 
0.018110.4%
 
Other values (687)135743.8%
 
(Missing)161852.3%
 
ValueCountFrequency (%) 
0.00640.1%
 
0.00730.1%
 
0.00850.2%
 
0.009100.3%
 
0.0170.2%
 
ValueCountFrequency (%) 
1.8341< 0.1%
 
1.8051< 0.1%
 
1.7361< 0.1%
 
1.6921< 0.1%
 
1.6751< 0.1%
 

HAI_3_CIUPPER
Real number (ℝ≥0)

MISSING

Distinct1438
Distinct (%)78.5%
Missing1265
Missing (%)40.9%
Infinite0
Infinite (%)0.0%
Mean2.464258329
Minimum0.402
Maximum7.896
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:07.277897image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.402
5-th percentile0.9175
Q11.553
median2.201
Q33.0825
95-th percentile4.872
Maximum7.896
Range7.494
Interquartile range (IQR)1.5295

Descriptive statistics

Standard deviation1.260387772
Coefficient of variation (CV)0.5114673885
Kurtosis1.219250538
Mean2.464258329
Median Absolute Deviation (MAD)0.724
Skewness1.101217688
Sum4512.057
Variance1.588577336
MonotocityNot monotonic
2021-03-15T10:14:07.423544image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1.27350.2%
 
2.24750.2%
 
2.29640.1%
 
2.58940.1%
 
1.81440.1%
 
1.03440.1%
 
1.4940.1%
 
0.83740.1%
 
1.49440.1%
 
1.3740.1%
 
Other values (1428)178957.8%
 
(Missing)126540.9%
 
ValueCountFrequency (%) 
0.4021< 0.1%
 
0.41320.1%
 
0.4251< 0.1%
 
0.431< 0.1%
 
0.4351< 0.1%
 
ValueCountFrequency (%) 
7.8961< 0.1%
 
7.6591< 0.1%
 
7.6231< 0.1%
 
7.5461< 0.1%
 
7.4091< 0.1%
 

HAI_3_DOPC
Real number (ℝ≥0)

MISSING

Distinct475
Distinct (%)16.7%
Missing255
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean115.3664203
Minimum1
Maximum1730
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:07.563175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q123
median68
Q3156
95-th percentile393
Maximum1730
Range1729
Interquartile range (IQR)133

Descriptive statistics

Standard deviation142.5351965
Coefficient of variation (CV)1.235499863
Kurtosis17.01026221
Mean115.3664203
Median Absolute Deviation (MAD)52
Skewness3.08727693
Sum327756
Variance20316.28224
MonotocityNot monotonic
2021-03-15T10:14:07.692943image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5451.5%
 
1451.5%
 
6401.3%
 
7381.2%
 
2371.2%
 
11351.1%
 
10351.1%
 
4321.0%
 
17321.0%
 
3311.0%
 
Other values (465)247179.8%
 
(Missing)2558.2%
 
ValueCountFrequency (%) 
1451.5%
 
2371.2%
 
3311.0%
 
4321.0%
 
5451.5%
 
ValueCountFrequency (%) 
17301< 0.1%
 
15441< 0.1%
 
14201< 0.1%
 
10351< 0.1%
 
10001< 0.1%
 

HAI_3_ELIGCASES
Real number (ℝ≥0)

MISSING

Distinct2227
Distinct (%)78.4%
Missing255
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean3.10006195
Minimum0
Maximum45.449
Zeros1
Zeros (%)< 0.1%
Memory size24.2 KiB
2021-03-15T10:14:07.848736image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.112
Q10.624
median1.782
Q34.1
95-th percentile10.61
Maximum45.449
Range45.449
Interquartile range (IQR)3.476

Descriptive statistics

Standard deviation3.92056351
Coefficient of variation (CV)1.264672633
Kurtosis17.50483955
Mean3.10006195
Median Absolute Deviation (MAD)1.369
Skewness3.179512004
Sum8807.276
Variance15.37081824
MonotocityNot monotonic
2021-03-15T10:14:07.976351image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.02760.2%
 
0.02260.2%
 
0.31350.2%
 
1.20750.2%
 
0.18650.2%
 
0.16950.2%
 
0.1850.2%
 
0.26140.1%
 
0.66340.1%
 
0.31440.1%
 
Other values (2217)279290.2%
 
(Missing)2558.2%
 
ValueCountFrequency (%) 
01< 0.1%
 
0.0131< 0.1%
 
0.0161< 0.1%
 
0.0171< 0.1%
 
0.01820.1%
 
ValueCountFrequency (%) 
45.4491< 0.1%
 
45.1451< 0.1%
 
37.9621< 0.1%
 
29.1441< 0.1%
 
27.7821< 0.1%
 

HAI_3_NUMERATOR
Real number (ℝ≥0)

MISSING
ZEROS

Distinct34
Distinct (%)1.2%
Missing255
Missing (%)8.2%
Infinite0
Infinite (%)0.0%
Mean2.684970081
Minimum0
Maximum37
Zeros1088
Zeros (%)35.1%
Memory size24.2 KiB
2021-03-15T10:14:08.098083image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile11
Maximum37
Range37
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.327648103
Coefficient of variation (CV)1.611804964
Kurtosis12.09170951
Mean2.684970081
Median Absolute Deviation (MAD)1
Skewness3.033961742
Sum7628
Variance18.72853811
MonotocityNot monotonic
2021-03-15T10:14:08.216722image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
0108835.1%
 
153117.2%
 
23049.8%
 
32347.6%
 
41625.2%
 
51063.4%
 
6702.3%
 
7652.1%
 
9481.6%
 
8461.5%
 
Other values (24)1876.0%
 
(Missing)2558.2%
 
ValueCountFrequency (%) 
0108835.1%
 
153117.2%
 
23049.8%
 
32347.6%
 
41625.2%
 
ValueCountFrequency (%) 
371< 0.1%
 
341< 0.1%
 
331< 0.1%
 
3220.1%
 
301< 0.1%
 

HAI_3_SIR_Score
Real number (ℝ≥0)

MISSING
ZEROS

Distinct1024
Distinct (%)55.9%
Missing1265
Missing (%)40.9%
Infinite0
Infinite (%)0.0%
Mean0.8120939377
Minimum0
Maximum3.665
Zeros353
Zeros (%)11.4%
Memory size24.2 KiB
2021-03-15T10:14:08.354688image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.3235
median0.717
Q31.181
95-th percentile2.097
Maximum3.665
Range3.665
Interquartile range (IQR)0.8575

Descriptive statistics

Standard deviation0.6618435297
Coefficient of variation (CV)0.8149839556
Kurtosis0.6509584188
Mean0.8120939377
Median Absolute Deviation (MAD)0.433
Skewness0.8472393198
Sum1486.944
Variance0.4380368578
MonotocityNot monotonic
2021-03-15T10:14:08.514293image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
035311.4%
 
0.83960.2%
 
0.53750.2%
 
0.98950.2%
 
0.82950.2%
 
0.52940.1%
 
1.21840.1%
 
0.8240.1%
 
0.61240.1%
 
0.42940.1%
 
Other values (1014)143746.4%
 
(Missing)126540.9%
 
ValueCountFrequency (%) 
035311.4%
 
0.111< 0.1%
 
0.1181< 0.1%
 
0.1261< 0.1%
 
0.1271< 0.1%
 
ValueCountFrequency (%) 
3.6651< 0.1%
 
3.561< 0.1%
 
3.5351< 0.1%
 
3.2281< 0.1%
 
3.211< 0.1%
 

HAI_4_CILOWER
Real number (ℝ≥0)

MISSING

Distinct379
Distinct (%)60.3%
Missing2467
Missing (%)79.7%
Infinite0
Infinite (%)0.0%
Mean0.3413942766
Minimum0.007
Maximum3.06
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:08.692776image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.007
5-th percentile0.0174
Q10.04
median0.206
Q30.493
95-th percentile1.215
Maximum3.06
Range3.053
Interquartile range (IQR)0.453

Descriptive statistics

Standard deviation0.4047789761
Coefficient of variation (CV)1.185664212
Kurtosis5.708109144
Mean0.3413942766
Median Absolute Deviation (MAD)0.174
Skewness2.060050167
Sum214.737
Variance0.1638460195
MonotocityNot monotonic
2021-03-15T10:14:08.850391image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.02100.3%
 
0.02990.3%
 
0.04880.3%
 
0.02880.3%
 
0.02480.3%
 
0.03880.3%
 
0.03370.2%
 
0.01970.2%
 
0.01760.2%
 
0.01660.2%
 
Other values (369)55217.8%
 
(Missing)246779.7%
 
ValueCountFrequency (%) 
0.0071< 0.1%
 
0.00820.1%
 
0.0091< 0.1%
 
0.0130.1%
 
0.01130.1%
 
ValueCountFrequency (%) 
3.061< 0.1%
 
2.2981< 0.1%
 
1.9751< 0.1%
 
1.9321< 0.1%
 
1.9191< 0.1%
 

HAI_4_CIUPPER
Real number (ℝ≥0)

MISSING

Distinct734
Distinct (%)89.3%
Missing2274
Missing (%)73.4%
Infinite0
Infinite (%)0.0%
Mean3.136768856
Minimum0.692
Maximum10.116
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:09.000578image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.692
5-th percentile1.173
Q11.982
median2.765
Q33.94825
95-th percentile6.1476
Maximum10.116
Range9.424
Interquartile range (IQR)1.96625

Descriptive statistics

Standard deviation1.595733792
Coefficient of variation (CV)0.5087189604
Kurtosis1.545431928
Mean3.136768856
Median Absolute Deviation (MAD)0.8955
Skewness1.186639947
Sum2578.424
Variance2.546366334
MonotocityNot monotonic
2021-03-15T10:14:09.134763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1.93340.1%
 
2.57130.1%
 
2.96630.1%
 
2.87530.1%
 
2.06520.1%
 
2.42620.1%
 
2.44420.1%
 
2.16620.1%
 
1.00620.1%
 
2.85620.1%
 
Other values (724)79725.7%
 
(Missing)227473.4%
 
ValueCountFrequency (%) 
0.6921< 0.1%
 
0.71< 0.1%
 
0.7041< 0.1%
 
0.71120.1%
 
0.7591< 0.1%
 
ValueCountFrequency (%) 
10.1161< 0.1%
 
9.7221< 0.1%
 
9.3671< 0.1%
 
9.0171< 0.1%
 
8.9331< 0.1%
 

HAI_4_DOPC
Real number (ℝ≥0)

MISSING

Distinct510
Distinct (%)19.0%
Missing413
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean122.872158
Minimum1
Maximum1970
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:09.279341image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q118
median55
Q3154
95-th percentile480
Maximum1970
Range1969
Interquartile range (IQR)136

Descriptive statistics

Standard deviation177.1878021
Coefficient of variation (CV)1.442050054
Kurtosis19.93106031
Mean122.872158
Median Absolute Deviation (MAD)46
Skewness3.441445926
Sum329666
Variance31395.51721
MonotocityNot monotonic
2021-03-15T10:14:09.412026image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1852.7%
 
2662.1%
 
6521.7%
 
3491.6%
 
9421.4%
 
7391.3%
 
4371.2%
 
12371.2%
 
5361.2%
 
10331.1%
 
Other values (500)220771.3%
 
(Missing)41313.3%
 
ValueCountFrequency (%) 
1852.7%
 
2662.1%
 
3491.6%
 
4371.2%
 
5361.2%
 
ValueCountFrequency (%) 
19701< 0.1%
 
19351< 0.1%
 
19291< 0.1%
 
15951< 0.1%
 
15421< 0.1%
 

HAI_4_ELIGCASES
Real number (ℝ≥0)

MISSING

Distinct1482
Distinct (%)55.2%
Missing413
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean1.021811032
Minimum0.003
Maximum15.74
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:09.557824image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.003
5-th percentile0.019
Q10.151
median0.469
Q31.285
95-th percentile3.9756
Maximum15.74
Range15.737
Interquartile range (IQR)1.134

Descriptive statistics

Standard deviation1.455810825
Coefficient of variation (CV)1.424735865
Kurtosis16.92174465
Mean1.021811032
Median Absolute Deviation (MAD)0.394
Skewness3.239661011
Sum2741.519
Variance2.119385159
MonotocityNot monotonic
2021-03-15T10:14:09.786214image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.007270.9%
 
0.015110.4%
 
0.008110.4%
 
0.104110.4%
 
0.041110.4%
 
0.021100.3%
 
0.028100.3%
 
0.023100.3%
 
0.00690.3%
 
0.01690.3%
 
Other values (1472)256482.8%
 
(Missing)41313.3%
 
ValueCountFrequency (%) 
0.0031< 0.1%
 
0.00420.1%
 
0.00560.2%
 
0.00690.3%
 
0.007270.9%
 
ValueCountFrequency (%) 
15.741< 0.1%
 
15.0261< 0.1%
 
14.621< 0.1%
 
12.411< 0.1%
 
11.7991< 0.1%
 

HAI_4_NUMERATOR
Real number (ℝ≥0)

MISSING
ZEROS

Distinct16
Distinct (%)0.6%
Missing413
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean0.9504286247
Minimum0
Maximum16
Zeros1641
Zeros (%)53.0%
Memory size24.2 KiB
2021-03-15T10:14:09.960775image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum16
Range16
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.814927642
Coefficient of variation (CV)1.909588573
Kurtosis12.42291698
Mean0.9504286247
Median Absolute Deviation (MAD)0
Skewness3.099211717
Sum2550
Variance3.293962344
MonotocityNot monotonic
2021-03-15T10:14:10.370428image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
0164153.0%
 
150016.1%
 
22177.0%
 
31153.7%
 
4702.3%
 
5441.4%
 
6270.9%
 
7230.7%
 
9140.5%
 
8130.4%
 
Other values (6)190.6%
 
(Missing)41313.3%
 
ValueCountFrequency (%) 
0164153.0%
 
150016.1%
 
22177.0%
 
31153.7%
 
4702.3%
 
ValueCountFrequency (%) 
1620.1%
 
141< 0.1%
 
131< 0.1%
 
1220.1%
 
1150.2%
 

HAI_4_SIR_Score
Real number (ℝ≥0)

MISSING
ZEROS

Distinct537
Distinct (%)65.3%
Missing2274
Missing (%)73.4%
Infinite0
Infinite (%)0.0%
Mean0.9274549878
Minimum0
Maximum5.82
Zeros193
Zeros (%)6.2%
Memory size24.2 KiB
2021-03-15T10:14:10.507064image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.23575
median0.738
Q31.364
95-th percentile2.79945
Maximum5.82
Range5.82
Interquartile range (IQR)1.12825

Descriptive statistics

Standard deviation0.892482926
Coefficient of variation (CV)0.962292443
Kurtosis2.318015698
Mean0.9274549878
Median Absolute Deviation (MAD)0.598
Skewness1.355430094
Sum762.368
Variance0.7965257732
MonotocityNot monotonic
2021-03-15T10:14:10.778879image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01936.2%
 
0.98140.1%
 
0.52140.1%
 
0.57840.1%
 
0.64840.1%
 
0.73840.1%
 
0.3730.1%
 
1.40230.1%
 
0.61530.1%
 
0.96930.1%
 
Other values (527)59719.3%
 
(Missing)227473.4%
 
ValueCountFrequency (%) 
01936.2%
 
0.1441< 0.1%
 
0.1541< 0.1%
 
0.1691< 0.1%
 
0.1781< 0.1%
 
ValueCountFrequency (%) 
5.821< 0.1%
 
4.5251< 0.1%
 
4.5161< 0.1%
 
4.3861< 0.1%
 
4.2891< 0.1%
 

HAI_5_CILOWER
Real number (ℝ≥0)

MISSING

Distinct670
Distinct (%)46.1%
Missing1642
Missing (%)53.0%
Infinite0
Infinite (%)0.0%
Mean0.3128748281
Minimum0.004
Maximum3.145
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:10.958450image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.004
5-th percentile0.017
Q10.05
median0.2305
Q30.4525
95-th percentile0.91395
Maximum3.145
Range3.141
Interquartile range (IQR)0.4025

Descriptive statistics

Standard deviation0.3206309347
Coefficient of variation (CV)1.024789807
Kurtosis8.407891403
Mean0.3128748281
Median Absolute Deviation (MAD)0.1865
Skewness2.108807411
Sum454.92
Variance0.1028041963
MonotocityNot monotonic
2021-03-15T10:14:11.090134image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.017200.6%
 
0.036160.5%
 
0.023150.5%
 
0.012150.5%
 
0.018130.4%
 
0.022130.4%
 
0.03120.4%
 
0.031110.4%
 
0.021110.4%
 
0.027110.4%
 
Other values (660)131742.5%
 
(Missing)164253.0%
 
ValueCountFrequency (%) 
0.0041< 0.1%
 
0.0051< 0.1%
 
0.00740.1%
 
0.0081< 0.1%
 
0.00930.1%
 
ValueCountFrequency (%) 
3.1451< 0.1%
 
2.6281< 0.1%
 
2.2111< 0.1%
 
1.9971< 0.1%
 
1.6991< 0.1%
 

HAI_5_CIUPPER
Real number (ℝ≥0)

MISSING

Distinct1379
Distinct (%)80.4%
Missing1381
Missing (%)44.6%
Infinite0
Infinite (%)0.0%
Mean2.459078717
Minimum0.364
Maximum10.281
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:11.254185image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.364
5-th percentile0.9177
Q11.4765
median2.114
Q33.11
95-th percentile5.0227
Maximum10.281
Range9.917
Interquartile range (IQR)1.6335

Descriptive statistics

Standard deviation1.343439595
Coefficient of variation (CV)0.5463182554
Kurtosis2.562317871
Mean2.459078717
Median Absolute Deviation (MAD)0.74
Skewness1.363337717
Sum4217.32
Variance1.804829944
MonotocityNot monotonic
2021-03-15T10:14:11.476594image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1.70450.2%
 
1.25150.2%
 
2.04140.1%
 
1.64840.1%
 
1.77640.1%
 
1.68540.1%
 
1.53330.1%
 
1.3930.1%
 
1.92830.1%
 
3.2730.1%
 
Other values (1369)167754.2%
 
(Missing)138144.6%
 
ValueCountFrequency (%) 
0.3641< 0.1%
 
0.3651< 0.1%
 
0.3751< 0.1%
 
0.4311< 0.1%
 
0.4321< 0.1%
 
ValueCountFrequency (%) 
10.2811< 0.1%
 
9.8511< 0.1%
 
8.931< 0.1%
 
8.6871< 0.1%
 
8.1251< 0.1%
 

HAI_5_DOPC
Real number (ℝ≥0)

MISSING

Distinct3006
Distinct (%)98.3%
Missing38
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean50958.96893
Minimum502
Maximum797340
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:11.744872image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum502
5-th percentile4070.25
Q110097.5
median29939.5
Q366405.5
95-th percentile175017.25
Maximum797340
Range796838
Interquartile range (IQR)56308

Descriptive statistics

Standard deviation62523.13111
Coefficient of variation (CV)1.226930851
Kurtosis17.86562317
Mean50958.96893
Median Absolute Deviation (MAD)23031.5
Skewness3.152140768
Sum155832527
Variance3909141924
MonotocityNot monotonic
2021-03-15T10:14:11.968934image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
471920.1%
 
503320.1%
 
18776020.1%
 
408720.1%
 
384820.1%
 
2556820.1%
 
619020.1%
 
1010720.1%
 
796620.1%
 
7797120.1%
 
Other values (2996)303898.1%
 
(Missing)381.2%
 
ValueCountFrequency (%) 
5021< 0.1%
 
12961< 0.1%
 
18001< 0.1%
 
19111< 0.1%
 
21331< 0.1%
 
ValueCountFrequency (%) 
7973401< 0.1%
 
7403341< 0.1%
 
5030801< 0.1%
 
4315321< 0.1%
 
4233651< 0.1%
 

HAI_5_ELIGCASES
Real number (ℝ≥0)

MISSING

Distinct2171
Distinct (%)71.0%
Missing38
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean3.161862655
Minimum0.007
Maximum58.368
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:12.117537image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.007
5-th percentile0.08885
Q10.33625
median1.341
Q33.67775
95-th percentile13.1309
Maximum58.368
Range58.361
Interquartile range (IQR)3.3415

Descriptive statistics

Standard deviation4.976378244
Coefficient of variation (CV)1.573875524
Kurtosis16.60527608
Mean3.161862655
Median Absolute Deviation (MAD)1.173
Skewness3.398711677
Sum9668.976
Variance24.76434043
MonotocityNot monotonic
2021-03-15T10:14:12.268102image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.103100.3%
 
0.09890.3%
 
0.07490.3%
 
0.08780.3%
 
0.08980.3%
 
0.13280.3%
 
0.10180.3%
 
0.11680.3%
 
0.1370.2%
 
0.19570.2%
 
Other values (2161)297696.1%
 
(Missing)381.2%
 
ValueCountFrequency (%) 
0.0071< 0.1%
 
0.0231< 0.1%
 
0.0251< 0.1%
 
0.0321< 0.1%
 
0.0381< 0.1%
 
ValueCountFrequency (%) 
58.3681< 0.1%
 
47.2361< 0.1%
 
40.8331< 0.1%
 
38.0981< 0.1%
 
36.4881< 0.1%
 

HAI_5_NUMERATOR
Real number (ℝ≥0)

MISSING
ZEROS

Distinct44
Distinct (%)1.4%
Missing38
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean2.600065402
Minimum0
Maximum48
Zeros1323
Zeros (%)42.7%
Memory size24.2 KiB
2021-03-15T10:14:12.401804image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile11
Maximum48
Range48
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.863793452
Coefficient of variation (CV)1.870642734
Kurtosis20.48552012
Mean2.600065402
Median Absolute Deviation (MAD)1
Skewness3.87443042
Sum7951
Variance23.65648675
MonotocityNot monotonic
2021-03-15T10:14:12.539471image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%) 
0132342.7%
 
155918.1%
 
22959.5%
 
32036.6%
 
41484.8%
 
51213.9%
 
6642.1%
 
7531.7%
 
8491.6%
 
9391.3%
 
Other values (34)2046.6%
 
(Missing)381.2%
 
ValueCountFrequency (%) 
0132342.7%
 
155918.1%
 
22959.5%
 
32036.6%
 
41484.8%
 
ValueCountFrequency (%) 
481< 0.1%
 
471< 0.1%
 
441< 0.1%
 
431< 0.1%
 
391< 0.1%
 

HAI_5_SIR_Score
Real number (ℝ≥0)

MISSING
ZEROS

Distinct990
Distinct (%)57.7%
Missing1381
Missing (%)44.6%
Infinite0
Infinite (%)0.0%
Mean0.8150670554
Minimum0
Maximum4.998
Zeros261
Zeros (%)8.4%
Memory size24.2 KiB
2021-03-15T10:14:12.668091image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.401
median0.726
Q31.106
95-th percentile2.004
Maximum4.998
Range4.998
Interquartile range (IQR)0.705

Descriptive statistics

Standard deviation0.6584087671
Coefficient of variation (CV)0.8077970552
Kurtosis4.128314373
Mean0.8150670554
Median Absolute Deviation (MAD)0.354
Skewness1.462125737
Sum1397.84
Variance0.4335021046
MonotocityNot monotonic
2021-03-15T10:14:12.808231image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02618.4%
 
0.59370.2%
 
0.51360.2%
 
0.75650.2%
 
0.60950.2%
 
0.73650.2%
 
0.8550.2%
 
0.91350.2%
 
0.73450.2%
 
0.8450.2%
 
Other values (980)140645.4%
 
(Missing)138144.6%
 
ValueCountFrequency (%) 
02618.4%
 
0.0741< 0.1%
 
0.1091< 0.1%
 
0.1141< 0.1%
 
0.131< 0.1%
 
ValueCountFrequency (%) 
4.9981< 0.1%
 
4.6381< 0.1%
 
4.5771< 0.1%
 
4.4441< 0.1%
 
4.0291< 0.1%
 

HAI_6_CILOWER
Real number (ℝ≥0)

MISSING

Distinct815
Distinct (%)29.9%
Missing369
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean0.312736707
Minimum0.001
Maximum2.883
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:12.961820image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.001
5-th percentile0.015
Q10.1225
median0.268
Q30.446
95-th percentile0.7684
Maximum2.883
Range2.882
Interquartile range (IQR)0.3235

Descriptive statistics

Standard deviation0.2541614014
Coefficient of variation (CV)0.8127008941
Kurtosis7.024570856
Mean0.312736707
Median Absolute Deviation (MAD)0.161
Skewness1.645300507
Sum852.833
Variance0.06459801796
MonotocityNot monotonic
2021-03-15T10:14:13.162283image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.028150.5%
 
0.004130.4%
 
0.009130.4%
 
0.014130.4%
 
0.013130.4%
 
0.024120.4%
 
0.011110.4%
 
0.012110.4%
 
0.01110.4%
 
0.345110.4%
 
Other values (805)260484.1%
 
(Missing)36911.9%
 
ValueCountFrequency (%) 
0.00120.1%
 
0.00250.2%
 
0.00370.2%
 
0.004130.4%
 
0.00580.3%
 
ValueCountFrequency (%) 
2.8831< 0.1%
 
2.1661< 0.1%
 
2.1231< 0.1%
 
1.8471< 0.1%
 
1.571< 0.1%
 

HAI_6_CIUPPER
Real number (ℝ≥0)

MISSING

Distinct1793
Distinct (%)58.7%
Missing42
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1.427881794
Minimum0.109
Maximum9.601
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:13.317903image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.109
5-th percentile0.41365
Q10.722
median1.0505
Q31.71175
95-th percentile3.7957
Maximum9.601
Range9.492
Interquartile range (IQR)0.98975

Descriptive statistics

Standard deviation1.143275973
Coefficient of variation (CV)0.8006797041
Kurtosis8.369935351
Mean1.427881794
Median Absolute Deviation (MAD)0.4085
Skewness2.469148332
Sum4360.751
Variance1.30707995
MonotocityNot monotonic
2021-03-15T10:14:13.452546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.76390.3%
 
0.94670.2%
 
0.6270.2%
 
0.94970.2%
 
0.84170.2%
 
0.71770.2%
 
0.76870.2%
 
0.67960.2%
 
0.8260.2%
 
0.6360.2%
 
Other values (1783)298596.4%
 
(Missing)421.4%
 
ValueCountFrequency (%) 
0.10920.1%
 
0.1221< 0.1%
 
0.1371< 0.1%
 
0.1391< 0.1%
 
0.161< 0.1%
 
ValueCountFrequency (%) 
9.6011< 0.1%
 
9.0511< 0.1%
 
8.9421< 0.1%
 
8.8581< 0.1%
 
8.4191< 0.1%
 

HAI_6_DOPC
Real number (ℝ≥0)

Distinct3011
Distinct (%)97.8%
Missing16
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean46624.24513
Minimum502
Maximum749885
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:13.593131image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum502
5-th percentile3810.75
Q19182
median27863.5
Q360783.5
95-th percentile157224.65
Maximum749885
Range749383
Interquartile range (IQR)51601.5

Descriptive statistics

Standard deviation56940.37271
Coefficient of variation (CV)1.22126101
Kurtosis18.63622129
Mean46624.24513
Median Absolute Deviation (MAD)21331
Skewness3.20411245
Sum143602675
Variance3242206045
MonotocityNot monotonic
2021-03-15T10:14:13.727803image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
385330.1%
 
582220.1%
 
507620.1%
 
272820.1%
 
1401520.1%
 
696020.1%
 
703220.1%
 
408720.1%
 
489620.1%
 
391520.1%
 
Other values (3001)305998.8%
 
(Missing)160.5%
 
ValueCountFrequency (%) 
5021< 0.1%
 
12961< 0.1%
 
18001< 0.1%
 
19111< 0.1%
 
19291< 0.1%
 
ValueCountFrequency (%) 
7498851< 0.1%
 
6597931< 0.1%
 
4818221< 0.1%
 
3916661< 0.1%
 
3823101< 0.1%
 

HAI_6_ELIGCASES
Real number (ℝ≥0)

Distinct2933
Distinct (%)95.2%
Missing16
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean29.51260812
Minimum0.077
Maximum555.201
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:13.879516image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.077
5-th percentile1.248
Q14.162
median15.0625
Q337.2065
95-th percentile107.8361
Maximum555.201
Range555.124
Interquartile range (IQR)33.0445

Descriptive statistics

Standard deviation41.24761021
Coefficient of variation (CV)1.397626738
Kurtosis20.54830858
Mean29.51260812
Median Absolute Deviation (MAD)12.786
Skewness3.47108122
Sum90898.833
Variance1701.365348
MonotocityNot monotonic
2021-03-15T10:14:14.031075image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1.24850.2%
 
1.00430.1%
 
1.23530.1%
 
1.26730.1%
 
2.68730.1%
 
1.60330.1%
 
1.67630.1%
 
1.14630.1%
 
1.90630.1%
 
1.46230.1%
 
Other values (2923)304898.4%
 
(Missing)160.5%
 
ValueCountFrequency (%) 
0.0771< 0.1%
 
0.2261< 0.1%
 
0.3091< 0.1%
 
0.3321< 0.1%
 
0.3971< 0.1%
 
ValueCountFrequency (%) 
555.2011< 0.1%
 
464.0091< 0.1%
 
350.5021< 0.1%
 
296.1061< 0.1%
 
277.6061< 0.1%
 

HAI_6_NUMERATOR
Real number (ℝ≥0)

ZEROS

Distinct148
Distinct (%)4.8%
Missing16
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean17.14383117
Minimum0
Maximum320
Zeros345
Zeros (%)11.1%
Memory size24.2 KiB
2021-03-15T10:14:14.166713image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q320
95-th percentile69
Maximum320
Range320
Interquartile range (IQR)18

Descriptive statistics

Standard deviation27.61640034
Coefficient of variation (CV)1.61086516
Kurtosis21.01385935
Mean17.14383117
Median Absolute Deviation (MAD)6
Skewness3.763840982
Sum52803
Variance762.6655676
MonotocityNot monotonic
2021-03-15T10:14:14.296874image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
034511.1%
 
131210.1%
 
22397.7%
 
41705.5%
 
31685.4%
 
51163.7%
 
61033.3%
 
7993.2%
 
9862.8%
 
8802.6%
 
Other values (138)136244.0%
 
ValueCountFrequency (%) 
034511.1%
 
131210.1%
 
22397.7%
 
31685.4%
 
41705.5%
 
ValueCountFrequency (%) 
3201< 0.1%
 
3191< 0.1%
 
2431< 0.1%
 
2281< 0.1%
 
2151< 0.1%
 

HAI_6_SIR_Score
Real number (ℝ≥0)

MISSING
ZEROS

Distinct1144
Distinct (%)37.5%
Missing42
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean0.5848133595
Minimum0
Maximum4.871
Zeros327
Zeros (%)10.6%
Memory size24.2 KiB
2021-03-15T10:14:14.437495image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.294
median0.523
Q30.766
95-th percentile1.3734
Maximum4.871
Range4.871
Interquartile range (IQR)0.472

Descriptive statistics

Standard deviation0.4746394365
Coefficient of variation (CV)0.8116084026
Kurtosis11.71733508
Mean0.5848133595
Median Absolute Deviation (MAD)0.238
Skewness2.371139117
Sum1786.02
Variance0.2252825947
MonotocityNot monotonic
2021-03-15T10:14:14.641042image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
032710.6%
 
0.599110.4%
 
0.284110.4%
 
0.34390.3%
 
0.45690.3%
 
0.68880.3%
 
0.5580.3%
 
0.78470.2%
 
0.2870.2%
 
0.67170.2%
 
Other values (1134)265085.6%
 
(Missing)421.4%
 
ValueCountFrequency (%) 
032710.6%
 
0.0221< 0.1%
 
0.0251< 0.1%
 
0.0331< 0.1%
 
0.0361< 0.1%
 
ValueCountFrequency (%) 
4.8711< 0.1%
 
4.6651< 0.1%
 
4.3541< 0.1%
 
3.981< 0.1%
 
3.7881< 0.1%
 
Distinct3
Distinct (%)0.2%
Missing1125
Missing (%)36.3%
Memory size24.2 KiB
No Different than National Benchmark
1571 
Better than the National Benchmark
361 
Worse than the National Benchmark
 
39
ValueCountFrequency (%) 
No Different than National Benchmark157150.7%
 
Better than the National Benchmark36111.7%
 
Worse than the National Benchmark391.3%
 
(Missing)112536.3%
 
2021-03-15T10:14:14.806605image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-03-15T10:14:14.888934image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-03-15T10:14:15.073437image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length36
Median length36
Mean length23.7377261
Min length3
Distinct3
Distinct (%)0.1%
Missing877
Missing (%)28.3%
Memory size24.2 KiB
No Different than National Benchmark
1811 
Better than the National Benchmark
349 
Worse than the National Benchmark
 
59
ValueCountFrequency (%) 
No Different than National Benchmark181158.5%
 
Better than the National Benchmark34911.3%
 
Worse than the National Benchmark591.9%
 
(Missing)87728.3%
 
2021-03-15T10:14:15.189407image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-03-15T10:14:15.278111image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-03-15T10:14:15.367872image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length36
Median length36
Mean length26.36950904
Min length3
Distinct3
Distinct (%)0.2%
Missing1265
Missing (%)40.9%
Memory size24.2 KiB
No Different than National Benchmark
1631 
Better than the National Benchmark
 
127
Worse than the National Benchmark
 
73
ValueCountFrequency (%) 
No Different than National Benchmark163152.7%
 
Better than the National Benchmark1274.1%
 
Worse than the National Benchmark732.4%
 
(Missing)126540.9%
 
2021-03-15T10:14:15.540410image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-03-15T10:14:15.634160image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-03-15T10:14:15.729087image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length36
Median length36
Mean length22.36369509
Min length3
Distinct3
Distinct (%)0.4%
Missing2274
Missing (%)73.4%
Memory size24.2 KiB
No Different than National Benchmark
753 
Worse than the National Benchmark
 
49
Better than the National Benchmark
 
20
ValueCountFrequency (%) 
No Different than National Benchmark75324.3%
 
Worse than the National Benchmark491.6%
 
Better than the National Benchmark200.6%
 
(Missing)227473.4%
 
2021-03-15T10:14:15.847207image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-03-15T10:14:15.959490image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-03-15T10:14:16.081133image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length36
Median length3
Mean length11.70122739
Min length3
Distinct3
Distinct (%)0.2%
Missing1381
Missing (%)44.6%
Memory size24.2 KiB
No Different than National Benchmark
1549 
Better than the National Benchmark
 
113
Worse than the National Benchmark
 
53
ValueCountFrequency (%) 
No Different than National Benchmark154950.0%
 
Better than the National Benchmark1133.6%
 
Worse than the National Benchmark531.7%
 
(Missing)138144.6%
 
2021-03-15T10:14:16.212783image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-03-15T10:14:16.296560image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-03-15T10:14:16.446157image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length36
Median length36
Mean length21.15568475
Min length3
Distinct3
Distinct (%)0.1%
Missing42
Missing (%)1.4%
Memory size24.2 KiB
No Different than National Benchmark
1610 
Better than the National Benchmark
1406 
Worse than the National Benchmark
 
38
ValueCountFrequency (%) 
No Different than National Benchmark161052.0%
 
Better than the National Benchmark140645.4%
 
Worse than the National Benchmark381.2%
 
(Missing)421.4%
 
2021-03-15T10:14:16.608474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2021-03-15T10:14:16.687263image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-03-15T10:14:16.779979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length36
Median length36
Mean length34.60723514
Min length3

Facility Name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct3004
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
GOOD SAMARITAN HOSPITAL
 
6
ST JOSEPH HOSPITAL
 
6
ST JOSEPH'S HOSPITAL
 
5
ST JOSEPH MEDICAL CENTER
 
5
MEMORIAL HOSPITAL
 
5
Other values (2999)
3069 
ValueCountFrequency (%) 
GOOD SAMARITAN HOSPITAL60.2%
 
ST JOSEPH HOSPITAL60.2%
 
ST JOSEPH'S HOSPITAL50.2%
 
ST JOSEPH MEDICAL CENTER50.2%
 
MEMORIAL HOSPITAL50.2%
 
ST LUKES HOSPITAL40.1%
 
ST MARY MEDICAL CENTER40.1%
 
MERCY MEDICAL CENTER40.1%
 
MEMORIAL MEDICAL CENTER40.1%
 
DOCTORS HOSPITAL30.1%
 
Other values (2994)305098.5%
 
2021-03-15T10:14:16.948530image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2949 ?
Unique (%)95.3%
2021-03-15T10:14:17.108104image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length72
Median length28
Mean length28.76485788
Min length9

Address
Categorical

HIGH CARDINALITY
UNIFORM

Distinct3085
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
100 HOSPITAL DRIVE
 
4
ONE HOSPITAL DRIVE
 
3
100 MEDICAL CENTER DRIVE
 
3
1 MEDICAL CENTER DRIVE
 
2
800 WASHINGTON STREET
 
2
Other values (3080)
3082 
ValueCountFrequency (%) 
100 HOSPITAL DRIVE40.1%
 
ONE HOSPITAL DRIVE30.1%
 
100 MEDICAL CENTER DRIVE30.1%
 
1 MEDICAL CENTER DRIVE20.1%
 
800 WASHINGTON STREET20.1%
 
100 MEDICAL DRIVE20.1%
 
100 HOSPITAL ROAD20.1%
 
3950 AUSTELL RD1< 0.1%
 
200 BELLE TERRE ROAD1< 0.1%
 
1601 YGNACIO VALLEY RD1< 0.1%
 
Other values (3075)307599.3%
 
2021-03-15T10:14:17.269332image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3078 ?
Unique (%)99.4%
2021-03-15T10:14:17.867212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length49
Median length19
Mean length19.23643411
Min length7

City
Categorical

HIGH CARDINALITY

Distinct1941
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
CHICAGO
 
25
LOS ANGELES
 
16
HOUSTON
 
16
BALTIMORE
 
14
COLUMBUS
 
13
Other values (1936)
3012 
ValueCountFrequency (%) 
CHICAGO250.8%
 
LOS ANGELES160.5%
 
HOUSTON160.5%
 
BALTIMORE140.5%
 
COLUMBUS130.4%
 
PHILADELPHIA130.4%
 
BROOKLYN120.4%
 
GREENVILLE120.4%
 
LAS VEGAS120.4%
 
SPRINGFIELD110.4%
 
Other values (1931)295295.3%
 
2021-03-15T10:14:18.026165image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1439 ?
Unique (%)46.5%
2021-03-15T10:14:18.355249image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length20
Median length8
Mean length8.748385013
Min length3

State
Categorical

HIGH CARDINALITY

Distinct54
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
CA
290 
TX
216 
FL
 
162
NY
 
137
PA
 
133
Other values (49)
2158 
ValueCountFrequency (%) 
CA2909.4%
 
TX2167.0%
 
FL1625.2%
 
NY1374.4%
 
PA1334.3%
 
OH1284.1%
 
IL1264.1%
 
GA953.1%
 
MI902.9%
 
NC892.9%
 
Other values (44)163052.6%
 
2021-03-15T10:14:18.762031image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
2021-03-15T10:14:18.948038image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length2
Mean length2
Min length2

ZIP Code
Real number (ℝ≥0)

Distinct2888
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51003.91085
Minimum674
Maximum99901
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:19.116282image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum674
5-th percentile6095.5
Q129218
median48099.5
Q376012
95-th percentile95662.5
Maximum99901
Range99227
Interquartile range (IQR)46794

Descriptive statistics

Standard deviation28473.47115
Coefficient of variation (CV)0.5582605466
Kurtosis-1.147851331
Mean51003.91085
Median Absolute Deviation (MAD)23933.5
Skewness0.06265111309
Sum157908108
Variance810738559.5
MonotocityNot monotonic
2021-03-15T10:14:19.361769image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7610450.2%
 
7703040.1%
 
4820140.1%
 
7509340.1%
 
3930140.1%
 
7570130.1%
 
9950830.1%
 
5580530.1%
 
7413330.1%
 
1120330.1%
 
Other values (2878)306098.8%
 
ValueCountFrequency (%) 
67420.1%
 
6831< 0.1%
 
7171< 0.1%
 
7251< 0.1%
 
7331< 0.1%
 
ValueCountFrequency (%) 
999011< 0.1%
 
998011< 0.1%
 
997011< 0.1%
 
996691< 0.1%
 
996451< 0.1%
 

County Name
Categorical

HIGH CARDINALITY

Distinct1042
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
LOS ANGELES
 
74
COOK
 
44
JEFFERSON
 
36
MONTGOMERY
 
35
WASHINGTON
 
31
Other values (1037)
2876 
ValueCountFrequency (%) 
LOS ANGELES742.4%
 
COOK441.4%
 
JEFFERSON361.2%
 
MONTGOMERY351.1%
 
WASHINGTON311.0%
 
ORANGE311.0%
 
MARICOPA260.8%
 
HARRIS240.8%
 
FRANKLIN240.8%
 
JACKSON240.8%
 
Other values (1032)274788.7%
 
2021-03-15T10:14:19.681337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique525 ?
Unique (%)17.0%
2021-03-15T10:14:19.916812image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length20
Median length7
Mean length7.483850129
Min length3

Phone Number
Categorical

HIGH CARDINALITY
UNIFORM

Distinct3086
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
(763) 389-6481
 
2
(702) 616-5000
 
2
(443) 643-3303
 
2
(512) 324-0000
 
2
(707) 445-8121
 
2
Other values (3081)
3086 
ValueCountFrequency (%) 
(763) 389-648120.1%
 
(702) 616-500020.1%
 
(443) 643-330320.1%
 
(512) 324-000020.1%
 
(707) 445-812120.1%
 
(414) 585-137420.1%
 
(864) 560-655420.1%
 
(952) 892-210120.1%
 
(803) 296-254820.1%
 
(415) 600-600020.1%
 
Other values (3076)307699.4%
 
2021-03-15T10:14:20.157030image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3076 ?
Unique (%)99.4%
2021-03-15T10:14:20.348010image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length14
Median length14
Mean length14
Min length14

Location
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct2918
Distinct (%)99.9%
Missing176
Missing (%)5.7%
Memory size24.2 KiB
POINT (-117.26112199999999 34.049482)
 
2
POINT (-118.18509800000001 33.807107)
 
2
POINT (-91.169288 38.195574)
 
1
POINT (-97.341975 32.736488)
 
1
POINT (-98.572976 29.50684)
 
1
Other values (2913)
2913 
ValueCountFrequency (%) 
POINT (-117.26112199999999 34.049482)20.1%
 
POINT (-118.18509800000001 33.807107)20.1%
 
POINT (-91.169288 38.195574)1< 0.1%
 
POINT (-97.341975 32.736488)1< 0.1%
 
POINT (-98.572976 29.50684)1< 0.1%
 
POINT (-87.748999 39.013668)1< 0.1%
 
POINT (-82.54837 35.577942)1< 0.1%
 
POINT (-118.291753 34.096116)1< 0.1%
 
POINT (-81.113097 37.362458)1< 0.1%
 
POINT (-90.259912 39.745268)1< 0.1%
 
Other values (2908)290893.9%
 
(Missing)1765.7%
 
2021-03-15T10:14:20.534944image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2916 ?
Unique (%)99.9%
2021-03-15T10:14:20.731094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length46
Median length28
Mean length28.12047804
Min length3

H_CLEAN_STAR_RATING
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.2%
Missing163
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean2.766791681
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:20.866473image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9164417349
Coefficient of variation (CV)0.3312290337
Kurtosis-0.3713359018
Mean2.766791681
Median Absolute Deviation (MAD)1
Skewness-0.05231656847
Sum8115
Variance0.8398654535
MonotocityNot monotonic
2021-03-15T10:14:21.026555image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
3124440.2%
 
283226.9%
 
454617.6%
 
12558.2%
 
5561.8%
 
(Missing)1635.3%
 
ValueCountFrequency (%) 
12558.2%
 
283226.9%
 
3124440.2%
 
454617.6%
 
5561.8%
 
ValueCountFrequency (%) 
5561.8%
 
454617.6%
 
3124440.2%
 
283226.9%
 
12558.2%
 

H_COMP_1_STAR_RATING
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.2%
Missing163
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean3.387998636
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:21.226458image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8915354476
Coefficient of variation (CV)0.2631451613
Kurtosis-0.2559433309
Mean3.387998636
Median Absolute Deviation (MAD)1
Skewness-0.4883572623
Sum9937
Variance0.7948354543
MonotocityNot monotonic
2021-03-15T10:14:21.348188image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
4134943.6%
 
388728.6%
 
245514.7%
 
51825.9%
 
1601.9%
 
(Missing)1635.3%
 
ValueCountFrequency (%) 
1601.9%
 
245514.7%
 
388728.6%
 
4134943.6%
 
51825.9%
 
ValueCountFrequency (%) 
51825.9%
 
4134943.6%
 
388728.6%
 
245514.7%
 
1601.9%
 

H_COMP_2_STAR_RATING
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.2%
Missing163
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean2.955335834
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:21.485643image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9753351462
Coefficient of variation (CV)0.3300251481
Kurtosis-0.4267021278
Mean2.955335834
Median Absolute Deviation (MAD)1
Skewness0.08276121792
Sum8668
Variance0.9512786474
MonotocityNot monotonic
2021-03-15T10:14:21.613039image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
3114336.9%
 
279025.5%
 
466521.5%
 
11695.5%
 
51665.4%
 
(Missing)1635.3%
 
ValueCountFrequency (%) 
11695.5%
 
279025.5%
 
3114336.9%
 
466521.5%
 
51665.4%
 
ValueCountFrequency (%) 
51665.4%
 
466521.5%
 
3114336.9%
 
279025.5%
 
11695.5%
 

H_COMP_3_STAR_RATING
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.2%
Missing163
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean3.123082168
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:21.758121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9643310063
Coefficient of variation (CV)0.3087754194
Kurtosis-0.2102005536
Mean3.123082168
Median Absolute Deviation (MAD)1
Skewness-0.1085602675
Sum9160
Variance0.9299342896
MonotocityNot monotonic
2021-03-15T10:14:21.881404image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
3126340.8%
 
477124.9%
 
253217.2%
 
52146.9%
 
11534.9%
 
(Missing)1635.3%
 
ValueCountFrequency (%) 
11534.9%
 
253217.2%
 
3126340.8%
 
477124.9%
 
52146.9%
 
ValueCountFrequency (%) 
52146.9%
 
477124.9%
 
3126340.8%
 
253217.2%
 
11534.9%
 

H_COMP_5_STAR_RATING
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.2%
Missing163
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean2.940675077
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:22.013834image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9262868456
Coefficient of variation (CV)0.3149912253
Kurtosis-0.1915497659
Mean2.940675077
Median Absolute Deviation (MAD)1
Skewness0.1435765386
Sum8625
Variance0.8580073204
MonotocityNot monotonic
2021-03-15T10:14:22.132488image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
3128341.4%
 
277625.1%
 
458218.8%
 
51514.9%
 
11414.6%
 
(Missing)1635.3%
 
ValueCountFrequency (%) 
11414.6%
 
277625.1%
 
3128341.4%
 
458218.8%
 
51514.9%
 
ValueCountFrequency (%) 
51514.9%
 
458218.8%
 
3128341.4%
 
277625.1%
 
11414.6%
 

H_COMP_6_STAR_RATING
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.2%
Missing163
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean3.142516195
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:22.268769image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.905197255
Coefficient of variation (CV)0.2880485569
Kurtosis-0.08375389156
Mean3.142516195
Median Absolute Deviation (MAD)1
Skewness-0.09922964739
Sum9217
Variance0.8193820704
MonotocityNot monotonic
2021-03-15T10:14:22.394328image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
3133243.0%
 
479925.8%
 
251516.6%
 
51775.7%
 
11103.6%
 
(Missing)1635.3%
 
ValueCountFrequency (%) 
11103.6%
 
251516.6%
 
3133243.0%
 
479925.8%
 
51775.7%
 
ValueCountFrequency (%) 
51775.7%
 
479925.8%
 
3133243.0%
 
251516.6%
 
11103.6%
 

H_COMP_7_STAR_RATING
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.2%
Missing163
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean3.00477327
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:22.511785image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.01353951
Coefficient of variation (CV)0.337309813
Kurtosis-0.6334851179
Mean3.00477327
Median Absolute Deviation (MAD)1
Skewness-0.1550926768
Sum8813
Variance1.027262338
MonotocityNot monotonic
2021-03-15T10:14:22.631488image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
399532.1%
 
487128.1%
 
270922.9%
 
12167.0%
 
51424.6%
 
(Missing)1635.3%
 
ValueCountFrequency (%) 
12167.0%
 
270922.9%
 
399532.1%
 
487128.1%
 
51424.6%
 
ValueCountFrequency (%) 
51424.6%
 
487128.1%
 
399532.1%
 
270922.9%
 
12167.0%
 

H_HSP_RATING_STAR_RATING
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.2%
Missing163
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean3.187862257
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:22.766182image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8716170026
Coefficient of variation (CV)0.2734173977
Kurtosis0.1371307607
Mean3.187862257
Median Absolute Deviation (MAD)1
Skewness-0.2246317046
Sum9350
Variance0.7597161993
MonotocityNot monotonic
2021-03-15T10:14:22.895728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
3138244.6%
 
487328.2%
 
241813.5%
 
51545.0%
 
11063.4%
 
(Missing)1635.3%
 
ValueCountFrequency (%) 
11063.4%
 
241813.5%
 
3138244.6%
 
487328.2%
 
51545.0%
 
ValueCountFrequency (%) 
51545.0%
 
487328.2%
 
3138244.6%
 
241813.5%
 
11063.4%
 

H_QUIET_STAR_RATING
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.2%
Missing163
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean3.057961132
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:23.031905image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.14354267
Coefficient of variation (CV)0.3739559206
Kurtosis-0.7357662684
Mean3.057961132
Median Absolute Deviation (MAD)1
Skewness-0.1477262403
Sum8969
Variance1.307689839
MonotocityNot monotonic
2021-03-15T10:14:23.161137image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
394630.6%
 
479425.6%
 
257418.5%
 
132210.4%
 
52979.6%
 
(Missing)1635.3%
 
ValueCountFrequency (%) 
132210.4%
 
257418.5%
 
394630.6%
 
479425.6%
 
52979.6%
 
ValueCountFrequency (%) 
52979.6%
 
479425.6%
 
394630.6%
 
257418.5%
 
132210.4%
 

H_RECMND_STAR_RATING
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.2%
Missing163
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean3.078418002
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:23.284571image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.952121896
Coefficient of variation (CV)0.3092893478
Kurtosis-0.5035057141
Mean3.078418002
Median Absolute Deviation (MAD)1
Skewness-0.1521210202
Sum9029
Variance0.9065361049
MonotocityNot monotonic
2021-03-15T10:14:23.410983image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
3108535.0%
 
489929.0%
 
267321.7%
 
51394.5%
 
11374.4%
 
(Missing)1635.3%
 
ValueCountFrequency (%) 
11374.4%
 
267321.7%
 
3108535.0%
 
489929.0%
 
51394.5%
 
ValueCountFrequency (%) 
51394.5%
 
489929.0%
 
3108535.0%
 
267321.7%
 
11374.4%
 

H_STAR_RATING
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)0.2%
Missing163
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean3.099556768
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:23.546439image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8432642642
Coefficient of variation (CV)0.272059629
Kurtosis-0.06628948107
Mean3.099556768
Median Absolute Deviation (MAD)1
Skewness-0.1420649516
Sum9091
Variance0.7110946193
MonotocityNot monotonic
2021-03-15T10:14:23.667680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
3138344.7%
 
481326.3%
 
254917.7%
 
51013.3%
 
1872.8%
 
(Missing)1635.3%
 
ValueCountFrequency (%) 
1872.8%
 
254917.7%
 
3138344.7%
 
481326.3%
 
51013.3%
 
ValueCountFrequency (%) 
51013.3%
 
481326.3%
 
3138344.7%
 
254917.7%
 
1872.8%
 

H_CLEAN_LINEAR_SCORE
Real number (ℝ≥0)

MISSING

Distinct26
Distinct (%)0.9%
Missing163
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean87.55540402
Minimum72
Maximum98
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:23.834723image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum72
5-th percentile81
Q185
median88
Q390
95-th percentile93
Maximum98
Range26
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.631858749
Coefficient of variation (CV)0.04148069202
Kurtosis0.2378525049
Mean87.55540402
Median Absolute Deviation (MAD)2
Skewness-0.2670421267
Sum256800
Variance13.19039797
MonotocityNot monotonic
2021-03-15T10:14:23.981681image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
8934211.0%
 
8831510.2%
 
8731310.1%
 
862889.3%
 
902748.9%
 
852317.5%
 
912126.8%
 
841896.1%
 
921474.7%
 
831244.0%
 
Other values (16)49816.1%
 
(Missing)1635.3%
 
ValueCountFrequency (%) 
721< 0.1%
 
7320.1%
 
7560.2%
 
761< 0.1%
 
7760.2%
 
ValueCountFrequency (%) 
9830.1%
 
9770.2%
 
96150.5%
 
95311.0%
 
94772.5%
 

H_COMP_1_LINEAR_SCORE
Real number (ℝ≥0)

MISSING

Distinct21
Distinct (%)0.7%
Missing163
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean91.34231163
Minimum73
Maximum98
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:24.116503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum73
5-th percentile87
Q190
median92
Q393
95-th percentile95
Maximum98
Range25
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.337218815
Coefficient of variation (CV)0.02558747171
Kurtosis3.13550989
Mean91.34231163
Median Absolute Deviation (MAD)1
Skewness-1.002385742
Sum267907
Variance5.46259179
MonotocityNot monotonic
2021-03-15T10:14:24.313145image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
9262820.3%
 
9154217.5%
 
9349215.9%
 
9034511.1%
 
942297.4%
 
892227.2%
 
951294.2%
 
881284.1%
 
87612.0%
 
86441.4%
 
Other values (11)1133.6%
 
(Missing)1635.3%
 
ValueCountFrequency (%) 
731< 0.1%
 
791< 0.1%
 
8020.1%
 
8150.2%
 
8230.1%
 
ValueCountFrequency (%) 
981< 0.1%
 
97130.4%
 
96391.3%
 
951294.2%
 
942297.4%
 

H_COMP_2_LINEAR_SCORE
Real number (ℝ≥0)

MISSING

Distinct21
Distinct (%)0.7%
Missing163
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean91.22604841
Minimum79
Maximum99
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:24.497309image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum79
5-th percentile87
Q190
median91
Q393
95-th percentile95
Maximum99
Range20
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.254231272
Coefficient of variation (CV)0.02471039042
Kurtosis1.21513079
Mean91.22604841
Median Absolute Deviation (MAD)1
Skewness-0.5229138225
Sum267566
Variance5.081558629
MonotocityNot monotonic
2021-03-15T10:14:24.638985image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
9158018.7%
 
9256318.2%
 
9345314.6%
 
9038212.3%
 
892668.6%
 
942126.8%
 
881424.6%
 
951043.4%
 
87792.6%
 
86521.7%
 
Other values (11)1003.2%
 
(Missing)1635.3%
 
ValueCountFrequency (%) 
791< 0.1%
 
801< 0.1%
 
811< 0.1%
 
8230.1%
 
8350.2%
 
ValueCountFrequency (%) 
991< 0.1%
 
9840.1%
 
9790.3%
 
96481.6%
 
951043.4%
 

H_COMP_3_LINEAR_SCORE
Real number (ℝ≥0)

MISSING

Distinct31
Distinct (%)1.1%
Missing163
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean84.96590522
Minimum60
Maximum97
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:24.808305image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile78
Q183
median85
Q387
95-th percentile91
Maximum97
Range37
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.916008985
Coefficient of variation (CV)0.04608918101
Kurtosis1.384325618
Mean84.96590522
Median Absolute Deviation (MAD)2
Skewness-0.4462017561
Sum249205
Variance15.33512637
MonotocityNot monotonic
2021-03-15T10:14:24.960802image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
8533210.7%
 
8633010.7%
 
8432710.6%
 
832748.9%
 
872598.4%
 
822096.8%
 
882066.7%
 
891825.9%
 
811444.7%
 
901244.0%
 
Other values (21)54617.6%
 
(Missing)1635.3%
 
ValueCountFrequency (%) 
601< 0.1%
 
6720.1%
 
6950.2%
 
701< 0.1%
 
7150.2%
 
ValueCountFrequency (%) 
971< 0.1%
 
9630.1%
 
9540.1%
 
94210.7%
 
93331.1%
 

H_COMP_5_LINEAR_SCORE
Real number (ℝ≥0)

MISSING

Distinct32
Distinct (%)1.1%
Missing163
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean78.14456188
Minimum53
Maximum93
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:25.121173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum53
5-th percentile72
Q176
median78
Q380
95-th percentile85
Maximum93
Range40
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.92314927
Coefficient of variation (CV)0.05020374003
Kurtosis1.19068646
Mean78.14456188
Median Absolute Deviation (MAD)2
Skewness-0.1917704805
Sum229198
Variance15.39110019
MonotocityNot monotonic
2021-03-15T10:14:25.299540image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
7934711.2%
 
7834411.1%
 
7731710.2%
 
802758.9%
 
762417.8%
 
752287.4%
 
812187.0%
 
741524.9%
 
821364.4%
 
831334.3%
 
Other values (22)54217.5%
 
(Missing)1635.3%
 
ValueCountFrequency (%) 
531< 0.1%
 
6320.1%
 
6450.2%
 
6530.1%
 
6640.1%
 
ValueCountFrequency (%) 
931< 0.1%
 
921< 0.1%
 
9120.1%
 
9040.1%
 
8990.3%
 

H_COMP_6_LINEAR_SCORE
Real number (ℝ≥0)

MISSING

Distinct30
Distinct (%)1.0%
Missing163
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean86.81247869
Minimum67
Maximum97
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:25.471452image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum67
5-th percentile80
Q185
median87
Q389
95-th percentile92
Maximum97
Range30
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.516520321
Coefficient of variation (CV)0.04050708348
Kurtosis1.843797805
Mean86.81247869
Median Absolute Deviation (MAD)2
Skewness-0.8812724705
Sum254621
Variance12.36591517
MonotocityNot monotonic
2021-03-15T10:14:25.620849image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
8839012.6%
 
8738712.5%
 
8937612.1%
 
8631710.2%
 
902708.7%
 
852387.7%
 
841755.7%
 
911534.9%
 
831334.3%
 
821073.5%
 
Other values (20)38712.5%
 
(Missing)1635.3%
 
ValueCountFrequency (%) 
671< 0.1%
 
6920.1%
 
701< 0.1%
 
711< 0.1%
 
721< 0.1%
 
ValueCountFrequency (%) 
971< 0.1%
 
9620.1%
 
9590.3%
 
94230.7%
 
93471.5%
 

H_COMP_7_LINEAR_SCORE
Real number (ℝ≥0)

MISSING

Distinct21
Distinct (%)0.7%
Missing163
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean81.41902489
Minimum66
Maximum90
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:25.784256image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum66
5-th percentile77
Q180
median82
Q383
95-th percentile85
Maximum90
Range24
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.628032479
Coefficient of variation (CV)0.03227786727
Kurtosis1.064438013
Mean81.41902489
Median Absolute Deviation (MAD)2
Skewness-0.4930025687
Sum238802
Variance6.90655471
MonotocityNot monotonic
2021-03-15T10:14:25.927526image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
8250216.2%
 
8149315.9%
 
8344314.3%
 
8032910.6%
 
842869.2%
 
792357.6%
 
781454.7%
 
851424.6%
 
86882.8%
 
77872.8%
 
Other values (11)1835.9%
 
(Missing)1635.3%
 
ValueCountFrequency (%) 
661< 0.1%
 
711< 0.1%
 
72110.4%
 
7350.2%
 
74150.5%
 
ValueCountFrequency (%) 
9020.1%
 
8930.1%
 
88150.5%
 
87341.1%
 
86882.8%
 

H_HSP_RATING_LINEAR_SCORE
Real number (ℝ≥0)

MISSING

Distinct25
Distinct (%)0.9%
Missing163
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean88.09580634
Minimum67
Maximum97
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:26.089041image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum67
5-th percentile82
Q186
median88
Q390
95-th percentile93
Maximum97
Range30
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.192979083
Coefficient of variation (CV)0.03624439364
Kurtosis1.597021546
Mean88.09580634
Median Absolute Deviation (MAD)2
Skewness-0.7375482724
Sum258385
Variance10.19511542
MonotocityNot monotonic
2021-03-15T10:14:26.231210image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
8942813.8%
 
9040913.2%
 
8836111.7%
 
8733210.7%
 
912708.7%
 
862618.4%
 
921946.3%
 
851715.5%
 
841203.9%
 
83842.7%
 
Other values (15)3039.8%
 
(Missing)1635.3%
 
ValueCountFrequency (%) 
671< 0.1%
 
731< 0.1%
 
751< 0.1%
 
7650.2%
 
77100.3%
 
ValueCountFrequency (%) 
9740.1%
 
9690.3%
 
95210.7%
 
94401.3%
 
93802.6%
 

H_QUIET_LINEAR_SCORE
Real number (ℝ≥0)

MISSING

Distinct34
Distinct (%)1.2%
Missing163
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean81.65973406
Minimum57
Maximum96
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:26.500966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum57
5-th percentile73
Q179
median82
Q385
95-th percentile89
Maximum96
Range39
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.811324699
Coefficient of variation (CV)0.05891918158
Kurtosis0.2340255358
Mean81.65973406
Median Absolute Deviation (MAD)3
Skewness-0.3692983418
Sum239508
Variance23.14884536
MonotocityNot monotonic
2021-03-15T10:14:26.822320image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
822548.2%
 
832498.0%
 
842337.5%
 
812337.5%
 
862167.0%
 
852116.8%
 
802106.8%
 
791916.2%
 
781424.6%
 
771354.4%
 
Other values (24)85927.7%
 
(Missing)1635.3%
 
ValueCountFrequency (%) 
571< 0.1%
 
631< 0.1%
 
651< 0.1%
 
6640.1%
 
6750.2%
 
ValueCountFrequency (%) 
961< 0.1%
 
9520.1%
 
9480.3%
 
9340.1%
 
92180.6%
 

H_RECMND_LINEAR_SCORE
Real number (ℝ≥0)

MISSING

Distinct33
Distinct (%)1.1%
Missing163
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean87.54449369
Minimum59
Maximum98
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:27.033466image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum59
5-th percentile80
Q185
median88
Q391
95-th percentile93
Maximum98
Range39
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.313730243
Coefficient of variation (CV)0.04927471805
Kurtosis1.64975574
Mean87.54449369
Median Absolute Deviation (MAD)3
Skewness-0.8698524738
Sum256768
Variance18.60826861
MonotocityNot monotonic
2021-03-15T10:14:27.197216image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
8931310.1%
 
902949.5%
 
882789.0%
 
872668.6%
 
912538.2%
 
862287.4%
 
921986.4%
 
851906.1%
 
841685.4%
 
931545.0%
 
Other values (23)59119.1%
 
(Missing)1635.3%
 
ValueCountFrequency (%) 
591< 0.1%
 
671< 0.1%
 
681< 0.1%
 
6920.1%
 
701< 0.1%
 
ValueCountFrequency (%) 
9820.1%
 
97110.4%
 
96180.6%
 
95341.1%
 
94742.4%
 

SEP_1
Real number (ℝ≥0)

MISSING

Distinct93
Distinct (%)3.5%
Missing419
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean60.07919313
Minimum0
Maximum100
Zeros2
Zeros (%)0.1%
Memory size24.2 KiB
2021-03-15T10:14:27.406668image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33
Q150
median61
Q371
95-th percentile86
Maximum100
Range100
Interquartile range (IQR)21

Descriptive statistics

Standard deviation16.0834568
Coefficient of variation (CV)0.2677042743
Kurtosis0.1276586756
Mean60.07919313
Median Absolute Deviation (MAD)11
Skewness-0.2951842805
Sum160832
Variance258.6775826
MonotocityNot monotonic
2021-03-15T10:14:27.688502image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
59772.5%
 
62762.5%
 
64732.4%
 
60722.3%
 
61712.3%
 
58702.3%
 
67682.2%
 
70672.2%
 
53662.1%
 
56642.1%
 
Other values (83)197363.7%
 
(Missing)41913.5%
 
ValueCountFrequency (%) 
020.1%
 
21< 0.1%
 
61< 0.1%
 
71< 0.1%
 
820.1%
 
ValueCountFrequency (%) 
10090.3%
 
991< 0.1%
 
9820.1%
 
9540.1%
 
9450.2%
 

SEP_SH_3HR
Real number (ℝ≥0)

MISSING

Distinct55
Distinct (%)2.1%
Missing448
Missing (%)14.5%
Infinite0
Infinite (%)0.0%
Mean85.2673716
Minimum31
Maximum100
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:27.972075image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile68
Q180
median87
Q392
95-th percentile98
Maximum100
Range69
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.303973439
Coefficient of variation (CV)0.1091152837
Kurtosis1.399073894
Mean85.2673716
Median Absolute Deviation (MAD)6
Skewness-0.8991565539
Sum225788
Variance86.56392176
MonotocityNot monotonic
2021-03-15T10:14:28.241663image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
881324.3%
 
901294.2%
 
891213.9%
 
871193.8%
 
911133.6%
 
921093.5%
 
841093.5%
 
851063.4%
 
861053.4%
 
821033.3%
 
Other values (45)150248.5%
 
(Missing)44814.5%
 
ValueCountFrequency (%) 
311< 0.1%
 
421< 0.1%
 
431< 0.1%
 
4620.1%
 
4720.1%
 
ValueCountFrequency (%) 
100872.8%
 
99381.2%
 
98581.9%
 
97612.0%
 
96872.8%
 

SEP_SH_6HR
Real number (ℝ≥0)

MISSING

Distinct96
Distinct (%)5.3%
Missing1288
Missing (%)41.6%
Infinite0
Infinite (%)0.0%
Mean68.3755531
Minimum0
Maximum100
Zeros3
Zeros (%)0.1%
Memory size24.2 KiB
2021-03-15T10:14:28.607134image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q155
median71
Q385
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)30

Descriptive statistics

Standard deviation21.10384894
Coefficient of variation (CV)0.3086461167
Kurtosis-0.1505876754
Mean68.3755531
Median Absolute Deviation (MAD)15
Skewness-0.5546472111
Sum123623
Variance445.3724402
MonotocityNot monotonic
2021-03-15T10:14:28.839404image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1001073.5%
 
67521.7%
 
50511.6%
 
73471.5%
 
83451.5%
 
92441.4%
 
71441.4%
 
62431.4%
 
75381.2%
 
64381.2%
 
Other values (86)129942.0%
 
(Missing)128841.6%
 
ValueCountFrequency (%) 
030.1%
 
21< 0.1%
 
520.1%
 
840.1%
 
940.1%
 
ValueCountFrequency (%) 
1001073.5%
 
991< 0.1%
 
9880.3%
 
97180.6%
 
96140.5%
 

SEV_SEP_3HR
Real number (ℝ≥0)

MISSING

Distinct69
Distinct (%)2.6%
Missing419
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean80.22711991
Minimum0
Maximum100
Zeros2
Zeros (%)0.1%
Memory size24.2 KiB
2021-03-15T10:14:29.088819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile62
Q175
median82
Q387
95-th percentile94
Maximum100
Range100
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.2098664
Coefficient of variation (CV)0.1272620332
Kurtosis6.116259919
Mean80.22711991
Median Absolute Deviation (MAD)6
Skewness-1.478318488
Sum214768
Variance104.2413719
MonotocityNot monotonic
2021-03-15T10:14:29.388031image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
841354.4%
 
861314.2%
 
831304.2%
 
791213.9%
 
821213.9%
 
811193.8%
 
851113.6%
 
781073.5%
 
881003.2%
 
80973.1%
 
Other values (59)150548.6%
 
(Missing)41913.5%
 
ValueCountFrequency (%) 
020.1%
 
41< 0.1%
 
81< 0.1%
 
231< 0.1%
 
291< 0.1%
 
ValueCountFrequency (%) 
100130.4%
 
9940.1%
 
98110.4%
 
97100.3%
 
96240.8%
 

SEV_SEP_6HR
Real number (ℝ≥0)

MISSING

Distinct70
Distinct (%)2.6%
Missing452
Missing (%)14.6%
Infinite0
Infinite (%)0.0%
Mean87.69629349
Minimum14
Maximum100
Zeros0
Zeros (%)0.0%
Memory size24.2 KiB
2021-03-15T10:14:29.542944image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile65
Q184
median91
Q396
95-th percentile100
Maximum100
Range86
Interquartile range (IQR)12

Descriptive statistics

Standard deviation11.64117192
Coefficient of variation (CV)0.1327441726
Kurtosis6.815233194
Mean87.69629349
Median Absolute Deviation (MAD)5
Skewness-2.171541072
Sum231869
Variance135.5168837
MonotocityNot monotonic
2021-03-15T10:14:29.692647image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
961785.7%
 
971595.1%
 
941444.7%
 
1001394.5%
 
981384.5%
 
951374.4%
 
931364.4%
 
921304.2%
 
911213.9%
 
901193.8%
 
Other values (60)124340.1%
 
(Missing)45214.6%
 
ValueCountFrequency (%) 
141< 0.1%
 
1520.1%
 
181< 0.1%
 
1920.1%
 
241< 0.1%
 
ValueCountFrequency (%) 
1001394.5%
 
99682.2%
 
981384.5%
 
971595.1%
 
961785.7%
 

Missing values

2021-03-15T10:13:55.470996image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2021-03-15T10:14:00.838750image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

Facility IDHAI_1_CILOWERHAI_1_CIUPPERHAI_1_DOPCHAI_1_ELIGCASESHAI_1_NUMERATORHAI_1_SIR_ScoreHAI_2_CILOWERHAI_2_CIUPPERHAI_2_DOPCHAI_2_ELIGCASESHAI_2_NUMERATORHAI_2_SIR_ScoreHAI_3_CILOWERHAI_3_CIUPPERHAI_3_DOPCHAI_3_ELIGCASESHAI_3_NUMERATORHAI_3_SIR_ScoreHAI_4_CILOWERHAI_4_CIUPPERHAI_4_DOPCHAI_4_ELIGCASESHAI_4_NUMERATORHAI_4_SIR_ScoreHAI_5_CILOWERHAI_5_CIUPPERHAI_5_DOPCHAI_5_ELIGCASESHAI_5_NUMERATORHAI_5_SIR_ScoreHAI_6_CILOWERHAI_6_CIUPPERHAI_6_DOPCHAI_6_ELIGCASESHAI_6_NUMERATORHAI_6_SIR_ScoreHAI_1_SIR_ComparedToNationalHAI_2_SIR_ComparedToNationalHAI_3_SIR_ComparedToNationalHAI_4_SIR_ComparedToNationalHAI_5_SIR_ComparedToNationalHAI_6_SIR_ComparedToNationalFacility NameAddressCityStateZIP CodeCounty NamePhone NumberLocationH_CLEAN_STAR_RATINGH_COMP_1_STAR_RATINGH_COMP_2_STAR_RATINGH_COMP_3_STAR_RATINGH_COMP_5_STAR_RATINGH_COMP_6_STAR_RATINGH_COMP_7_STAR_RATINGH_HSP_RATING_STAR_RATINGH_QUIET_STAR_RATINGH_RECMND_STAR_RATINGH_STAR_RATINGH_CLEAN_LINEAR_SCOREH_COMP_1_LINEAR_SCOREH_COMP_2_LINEAR_SCOREH_COMP_3_LINEAR_SCOREH_COMP_5_LINEAR_SCOREH_COMP_6_LINEAR_SCOREH_COMP_7_LINEAR_SCOREH_HSP_RATING_LINEAR_SCOREH_QUIET_LINEAR_SCOREH_RECMND_LINEAR_SCORESEP_1SEP_SH_3HRSEP_SH_6HRSEV_SEP_3HRSEV_SEP_6HR
00100010.3011.5437846.08.0866.00.7420.1310.67513268.018.4986.00.3240.1651.769165.04.6153.00.650NaN1.59216.01.8840.00.00.1741.321102765.07.3054.00.5480.3910.722102765.076.29441.00.537No Different than National BenchmarkBetter than the National BenchmarkNo Different than National BenchmarkNo Different than National BenchmarkNo Different than National BenchmarkBetter than the National BenchmarkSOUTHEAST ALABAMA MEDICAL CENTER1108 ROSS CLARK CIRCLEDOTHANAL36301HOUSTON(334) 793-8701POINT (-85.361725 31.214058)3.03.03.03.03.04.03.03.04.04.03.087.090.091.084.080.090.082.088.086.090.060.088.0NaN77.092.0
1010005NaN1.5073088.01.9880.00.0000.3932.3787928.04.6605.01.0730.0252.50474.01.9701.00.508NaNNaN31.00.2440.0NaN0.4935.27440143.01.5483.01.9380.2471.11837697.012.3867.00.565No Different than National BenchmarkNo Different than National BenchmarkNo Different than National BenchmarkNaNNo Different than National BenchmarkNo Different than National BenchmarkMARSHALL MEDICAL CENTERS2505 U S HIGHWAY 431 NORTHBOAZAL35957MARSHALL(256) 593-8310NaN2.03.04.03.03.04.03.03.04.03.03.085.091.093.083.080.090.081.088.085.088.068.092.084.079.097.0
2010006NaN0.6275874.04.7810.00.0000.0370.73510270.08.9922.00.2220.1372.70990.02.4392.00.820NaNNaN64.00.5700.0NaN0.1661.78064819.04.5883.00.6540.2310.72462418.028.16112.00.426Better than the National BenchmarkBetter than the National BenchmarkNo Different than National BenchmarkNaNNo Different than National BenchmarkBetter than the National BenchmarkNORTH ALABAMA MEDICAL CENTER1701 VETERANS DRIVEFLORENCEAL35630LAUDERDALE(256) 768-8400POINT (-87.652191 34.802756)2.03.03.01.02.02.02.03.04.03.02.086.090.092.078.076.084.080.086.087.087.033.076.0NaN60.067.0
3010007NaNNaN180.00.1100.0NaNNaNNaN928.00.5070.0NaNNaNNaN7.00.2050.0NaNNaNNaNNaNNaNNaNNaNNaNNaN4783.00.0990.0NaNNaN1.6284783.01.8400.00.000NaNNaNNaNNaNNaNNo Different than National BenchmarkMIZELL MEMORIAL HOSPITAL702 N MAIN STOPPAL36467COVINGTON(334) 493-3541POINT (-86.255415 31.291971999999998)3.03.03.03.04.04.04.03.05.03.04.088.091.092.086.083.090.083.088.088.088.098.098.0NaN100.0100.0
40100110.1540.93311015.011.8805.00.4210.2911.09711694.015.0629.00.5980.2962.243158.04.3014.00.930NaNNaN65.00.6041.0NaN0.4481.83182573.08.2978.00.9640.2450.46882573.0107.74437.00.343Better than the National BenchmarkNo Different than National BenchmarkNo Different than National BenchmarkNaNNo Different than National BenchmarkBetter than the National BenchmarkST. VINCENT'S EAST50 MEDICAL PARK EAST DRIVEBIRMINGHAMAL35235JEFFERSON(205) 838-3122POINT (-86.665182 33.595351)2.03.03.03.03.03.03.03.03.03.03.084.090.092.086.079.088.082.088.083.087.0NaNNaNNaNNaNNaN
5010012NaNNaN678.00.4780.0NaNNaN1.5912729.01.8830.00.000NaNNaN8.00.1941.0NaNNaNNaN29.00.2980.0NaNNaNNaN14041.00.4460.0NaN0.0100.95514041.05.1661.00.194NaNNo Different than National BenchmarkNaNNaNNaNBetter than the National BenchmarkDEKALB REGIONAL MEDICAL CENTER200 MED CENTER DRIVEFORT PAYNEAL35968DE KALB(256) 845-3150NaN3.02.03.02.02.03.01.02.04.01.02.089.088.091.082.073.085.077.082.084.078.088.095.0NaN92.099.0
60100160.0090.8976693.05.4991.00.1820.0910.9729486.08.4023.00.357NaN0.694156.04.3180.00.000NaNNaN69.00.6550.0NaN0.0171.66444995.02.9641.00.3370.2460.86444995.020.62510.00.485Better than the National BenchmarkBetter than the National BenchmarkBetter than the National BenchmarkNaNNo Different than National BenchmarkBetter than the National BenchmarkSHELBY BAPTIST MEDICAL CENTER1000 FIRST STREET NORTHALABASTERAL35007SHELBY(205) 620-8100POINT (-86.814261 33.253679)2.02.03.03.03.03.03.03.03.03.03.084.089.091.084.078.086.081.087.082.087.074.093.095.082.097.0
70100190.6617.0691669.01.1553.02.5970.0141.4184912.03.4781.00.288NaN2.37648.01.2610.00.000NaNNaN43.00.3570.0NaN0.2154.23028907.01.5622.01.2800.2681.21126660.011.4307.00.612No Different than National BenchmarkNo Different than National BenchmarkNo Different than National BenchmarkNaNNo Different than National BenchmarkNo Different than National BenchmarkHELEN KELLER HOSPITAL1300 SOUTH MONTGOMERY AVENUESHEFFIELDAL35660COLBERT(256) 386-4556POINT (-87.698866 34.74824900000001)3.04.04.03.04.03.03.04.04.04.04.087.093.094.084.082.086.082.090.087.091.082.093.095.092.097.0
8010021NaNNaN453.00.2820.0NaNNaNNaN547.00.2900.0NaNNaNNaN10.00.2531.0NaNNaNNaNNaNNaNNaNNaNNaNNaN7887.00.1780.0NaN0.0222.2037311.02.2391.00.447NaNNaNNaNNaNNaNNo Different than National BenchmarkDALE MEDICAL CENTER126 HOSPITAL AVEOZARKAL36360DALE(334) 774-2601POINT (-85.630966 31.451345000000003)3.04.04.04.04.03.04.04.04.02.04.090.092.093.090.081.085.083.090.087.084.0NaNNaNNaNNaNNaN
9010022NaNNaN36.00.0210.0NaNNaNNaN135.00.0660.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN3761.00.0880.0NaNNaN2.8783761.01.0410.00.000NaNNaNNaNNaNNaNNo Different than National BenchmarkCHEROKEE MEDICAL CENTER400 NORTHWOOD DRCENTREAL35960CHEROKEE(256) 927-5531POINT (-85.65142 34.162761)NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN

Last rows

Facility IDHAI_1_CILOWERHAI_1_CIUPPERHAI_1_DOPCHAI_1_ELIGCASESHAI_1_NUMERATORHAI_1_SIR_ScoreHAI_2_CILOWERHAI_2_CIUPPERHAI_2_DOPCHAI_2_ELIGCASESHAI_2_NUMERATORHAI_2_SIR_ScoreHAI_3_CILOWERHAI_3_CIUPPERHAI_3_DOPCHAI_3_ELIGCASESHAI_3_NUMERATORHAI_3_SIR_ScoreHAI_4_CILOWERHAI_4_CIUPPERHAI_4_DOPCHAI_4_ELIGCASESHAI_4_NUMERATORHAI_4_SIR_ScoreHAI_5_CILOWERHAI_5_CIUPPERHAI_5_DOPCHAI_5_ELIGCASESHAI_5_NUMERATORHAI_5_SIR_ScoreHAI_6_CILOWERHAI_6_CIUPPERHAI_6_DOPCHAI_6_ELIGCASESHAI_6_NUMERATORHAI_6_SIR_ScoreHAI_1_SIR_ComparedToNationalHAI_2_SIR_ComparedToNationalHAI_3_SIR_ComparedToNationalHAI_4_SIR_ComparedToNationalHAI_5_SIR_ComparedToNationalHAI_6_SIR_ComparedToNationalFacility NameAddressCityStateZIP CodeCounty NamePhone NumberLocationH_CLEAN_STAR_RATINGH_COMP_1_STAR_RATINGH_COMP_2_STAR_RATINGH_COMP_3_STAR_RATINGH_COMP_5_STAR_RATINGH_COMP_6_STAR_RATINGH_COMP_7_STAR_RATINGH_HSP_RATING_STAR_RATINGH_QUIET_STAR_RATINGH_RECMND_STAR_RATINGH_STAR_RATINGH_CLEAN_LINEAR_SCOREH_COMP_1_LINEAR_SCOREH_COMP_2_LINEAR_SCOREH_COMP_3_LINEAR_SCOREH_COMP_5_LINEAR_SCOREH_COMP_6_LINEAR_SCOREH_COMP_7_LINEAR_SCOREH_HSP_RATING_LINEAR_SCOREH_QUIET_LINEAR_SCOREH_RECMND_LINEAR_SCORESEP_1SEP_SH_3HRSEP_SH_6HRSEV_SEP_3HRSEV_SEP_6HR
3086670080NaNNaN1100.00.7020.0NaNNaN2.2422228.01.3360.00.000NaNNaN32.00.8770.0NaNNaNNaN32.00.2751.0NaNNaNNaN13016.00.4190.0NaN0.0801.56911591.04.2112.00.475NaNNo Different than National BenchmarkNaNNaNNaNNo Different than National BenchmarkSETON MEDICAL CENTER HARKER HEIGHTS850 W CENTRAL TEXAS EXPRESSWAYHARKER HEIGHTSTX76548BELL(254) 953-8342POINT (-97.683707 31.074292)2.03.03.04.03.03.03.03.05.03.03.086.091.091.087.079.087.081.089.088.089.062.085.066.083.097.0
30876700820.0171.6643389.02.9631.00.3370.0181.8203388.02.7101.00.3690.1122.214114.02.9842.00.6700.9737.388163.01.3064.03.063NaN1.53844762.01.9480.00.0000.2950.84837083.027.05714.00.517No Different than National BenchmarkNo Different than National BenchmarkNo Different than National BenchmarkNo Different than National BenchmarkNo Different than National BenchmarkBetter than the National BenchmarkBAYLOR SCOTT AND WHITE MEDICAL CENTER MCKINNEY5252 WEST UNIVERSITY DRIVEMC KINNEYTX75071COLLIN(469) 764-2200POINT (-96.68102 33.218404)3.03.02.03.02.03.03.03.04.03.03.087.090.090.083.074.085.081.089.085.089.088.096.083.093.099.0
3088670085NaN1.9132254.01.5660.00.0000.0444.3221600.01.1411.00.8760.1442.83089.02.3352.00.857NaN2.155175.01.3900.00.000NaNNaN29830.00.9392.0NaN0.0050.44524612.011.0891.00.090No Different than National BenchmarkNo Different than National BenchmarkNo Different than National BenchmarkNo Different than National BenchmarkNaNBetter than the National BenchmarkTEXAS HEALTH HARRIS METHODIST HOSPITAL ALLIANCE10864 TEXAS HEALTH TRAILFORT WORTHTX76244TARRANT(682) 212-2000POINT (-97.309987 32.931717)2.04.03.03.03.03.04.04.05.04.03.086.092.092.086.078.086.084.091.088.091.076.093.056.088.098.0
30896700880.6244.7392598.02.0364.01.9650.0212.0223560.02.4391.00.4100.5863.545119.03.1265.01.5990.0292.851198.01.7301.00.5780.8076.13033990.01.5744.02.5410.2370.89228844.018.5199.00.486No Different than National BenchmarkNo Different than National BenchmarkNo Different than National BenchmarkNo Different than National BenchmarkNo Different than National BenchmarkBetter than the National BenchmarkBAYLOR SCOTT & WHITE MEDICAL CENTER- COLLEGE STATI700 SCOTT & WHITE DRIVECOLLEGE STATIONTX77845BRAZOS(979) 691-3701POINT (-96.388209 30.153835)3.04.04.03.03.03.04.04.04.04.04.089.092.093.083.080.087.083.091.086.092.063.089.0NaN78.085.0
30906700980.0333.2072458.01.5381.00.6500.4915.2513007.01.5553.01.929NaN1.43783.02.0850.00.000NaNNaN6.00.0390.0NaNNaNNaN23253.00.8181.0NaN0.2311.18520929.010.5306.00.570No Different than National BenchmarkNo Different than National BenchmarkNo Different than National BenchmarkNaNNaNNo Different than National BenchmarkRESOLUTE HEALTH HOSPITAL555 CREEKSIDE XING,NEW BRAUNFELSTX78130COMAL(469) 839-6778POINT (-98.071212 29.71921)3.03.03.04.04.03.03.04.04.04.03.088.091.091.087.082.088.082.090.087.092.056.082.071.079.090.0
3091670103NaNNaN1101.00.7680.0NaNNaNNaN1082.00.5890.0NaN0.1172.297104.02.8772.00.695NaNNaN72.00.5651.0NaNNaNNaN15909.00.4300.0NaN0.0090.93314157.05.2861.00.189NaNNaNNo Different than National BenchmarkNaNNaNBetter than the National BenchmarkMEDICAL CITY ALLIANCE3101 NORTH TARRANT PARKWAYFORT WORTHTX76177TARRANT(817) 639-1100POINT (-97.313814 32.898527)4.04.03.04.04.03.04.04.05.04.04.094.093.091.089.081.088.083.090.088.091.077.096.082.089.090.0
3092670106NaNNaN1422.00.8242.0NaNNaNNaN1164.00.5701.0NaNNaNNaN13.00.3570.0NaNNaNNaN6.00.0460.0NaNNaNNaN13331.00.5090.0NaN0.0641.26413331.05.2292.00.382NaNNaNNaNNaNNaNNo Different than National BenchmarkHCA HOUSTON HEALTHCARE PEARLAND11100 SHADOW CREEK PARKWAYPEARLANDTX77584BRAZORIA(713) 770-7000POINT (-95.391911 29.579994)3.03.03.03.03.03.03.04.05.03.03.088.091.091.086.079.085.081.090.089.089.069.090.074.086.094.0
3093670108NaNNaN345.00.2120.0NaNNaNNaN1172.00.6020.0NaNNaNNaN27.00.6421.0NaNNaNNaN17.00.1330.0NaNNaNNaN10097.00.3341.0NaN0.1451.5519449.05.2633.00.570NaNNaNNaNNaNNaNNo Different than National BenchmarkBAYLOR SCOTT & WHITE MEDICAL CENTER - MARBLE FALLS810 W HIGHWAY 71MARBLE FALLSTX78654BURNET(830) 201-7308POINT (-97.359381 30.110740000000003)4.04.04.04.03.04.04.05.04.04.04.092.094.093.088.080.091.084.093.085.093.070.094.0NaN85.086.0
3094670120NaNNaN1216.00.8440.0NaNNaN2.4922015.01.2020.00.000NaN1.47384.02.0340.00.000NaNNaN21.00.1850.0NaNNaNNaN24042.00.7470.0NaN0.0630.67723329.012.0653.00.249NaNNo Different than National BenchmarkNo Different than National BenchmarkNaNNaNBetter than the National BenchmarkTHE HOSPITALS OF PROVIDENCE TRANSMOUNTAIN CAMPUS2000 TRANSMOUNTAIN RDEL PASOTX79911EL PASO(915) 877-8136NaN3.02.02.03.03.02.02.03.04.03.03.089.089.089.083.078.084.080.087.085.087.083.096.086.091.097.0
3095670122NaN0.9894256.03.0300.00.0000.0811.5906067.04.1552.00.481NaN0.666186.04.4970.00.000NaN1.832213.01.6350.00.0000.0292.84937689.01.7311.00.5780.0130.25835901.025.6042.00.078Better than the National BenchmarkNo Different than National BenchmarkBetter than the National BenchmarkNo Different than National BenchmarkNo Different than National BenchmarkBetter than the National BenchmarkHOUSTON METHODIST THE WOODLANDS HOSPITAL17201 INTERSTATE 45 SOUTHTHE WOODLANDSTX77385MONTGOMERY(936) 270-2000POINT (-95.45551 30.204697000000003)2.03.03.03.03.03.03.04.04.04.03.086.091.091.085.077.086.082.092.084.092.094.098.0100.097.098.0